Time-series forecasting

This page was last updated on 2024-07-17 08:45:06 UTC

Manually curated articles on Time-series forecasting

Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations
visibility_off A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, C. Alippi, G. I. Webb, Irwin King, Shirui Pan 2023-07-07 arXiv.org, ArXiv 51 49 open_in_new
visibility_off Graph-Guided Network for Irregularly Sampled Multivariate Time Series Xiang Zhang, M. Zeman, Theodoros Tsiligkaridis, M. Zitnik 2021-10-11 International Conference on Learning Representations, ArXiv 65 46 open_in_new
visibility_off Taming Local Effects in Graph-based Spatiotemporal Forecasting Andrea Cini, Ivan Marisca, Daniele Zambon, C. Alippi 2023-02-08 Neural Information Processing Systems, ArXiv 14 49 open_in_new
visibility_off Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini, Daniele Zambon, C. Alippi 2022-05-26 J. Mach. Learn. Res., Journal of machine learning research 10 49 open_in_new
visibility_off Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson 2023-10-11 Neural Information Processing Systems, ArXiv 110 14 open_in_new
visibility_off Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces Chloe X. Wang, Oleksii Tsepa, Jun Ma, Bo Wang 2024-02-01 arXiv.org, ArXiv 43 7 open_in_new
visibility_off A decoder-only foundation model for time-series forecasting Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou 2023-10-14 arXiv.org, ArXiv 41 14 open_in_new
visibility_off Unified Training of Universal Time Series Forecasting Transformers Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo 2024-02-04 arXiv.org, ArXiv 24 22 open_in_new
visibility_off Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, X. Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen 2023-10-03 arXiv.org, ArXiv 104 9 open_in_new
visibility_off Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, M. Zitnik 2022-06-17 Neural Information Processing Systems, ArXiv 145 46 open_in_new
visibility_off Domain Adaptation for Time Series Under Feature and Label Shifts Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, M. Zitnik 2023-02-06 DBLP, ArXiv 21 46 open_in_new
visibility_off AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs Daniele Zambon, C. Alippi None DBLP 6 49 open_in_new
visibility_off Graph state-space models Daniele Zambon, Andrea Cini, L. Livi, C. Alippi 2023-01-04 arXiv.org, ArXiv 3 49 open_in_new
visibility_off UNITS: A Unified Multi-Task Time Series Model Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, M. Zitnik 2024-02-29 ArXiv 2 46 open_in_new
Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index View recommendations

Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index
visibility_off ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks Wanlin Cai, Kun Wang, Hao Wu, Xiaoxu Chen, Yuankai Wu 2024-05-28 ArXiv 0 3
visibility_off TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao 2024-06-03 ArXiv 1 4
visibility_off NuwaTS: a Foundation Model Mending Every Incomplete Time Series Jinguo Cheng, Chunwei Yang, Wanlin Cai, Yuxuan Liang, Yuankai Wu 2024-05-24 ArXiv 0 3
visibility_off Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang 2024-05-23 ArXiv 0 6
visibility_off DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series Abishek Sriramulu, Nicolas Fourrier, Christoph Bergmeir 2024-05-29 ArXiv 0 4
visibility_off UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo 2024-06-07 ArXiv 0 22
visibility_off Are Self-Attentions Effective for Time Series Forecasting? Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim 2024-05-27 ArXiv 0 7
visibility_off Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. A. Prakash 2024-07-02 ArXiv 0 9
visibility_off SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks S. Kristoffersen, Peter Skaar Nordby, Sara Malacarne, Massimiliano Ruocco, Pablo Ortiz 2024-07-02 ArXiv 0 0
visibility_off Are Language Models Actually Useful for Time Series Forecasting? Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Tom Hartvigsen 2024-06-22 ArXiv 0 3
visibility_off Prompt-Enhanced Spatio-Temporal Graph Transfer Learning Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann 2024-05-21 ArXiv 0 16
visibility_off SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces Jinhyeok Choi, Heehyeon Kim, Minhyeong An, Joyce Jiyoung Whang 2024-06-17 ArXiv 0 1
visibility_off MSegRNN:Enhanced SegRNN Model with Mamba for Long-Term Time Series Forecasting GaoXiang Zhao, Xiaoqiang Wang 2024-07-15 ArXiv 0 0
visibility_off Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers Xin Cheng, Xiuying Chen, Shuqi Li, Di Luo, Xun Wang, Dongyan Zhao, Rui Yan 2024-05-22 ArXiv 0 7
visibility_off Time Series Representation Models Robert Leppich, Vanessa Borst, Veronika Lesch, Samuel Kounev 2024-05-28 ArXiv 0 9
visibility_off C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting Chaolv Zeng, Zhanyu Liu, Guanjie Zheng, Linghe Kong 2024-06-08 ArXiv 1 5
visibility_off xLSTMTime : Long-term Time Series Forecasting With xLSTM Musleh Alharthi, Ausif Mahmood 2024-07-14 ArXiv 0 0
visibility_off Sparse transformer with local and seasonal adaptation for multivariate time series forecasting Yifan Zhang, Rui Wu, S. Dascalu, Frederick C. Harris 2024-07-10 Scientific Reports 0 18
visibility_off Toto: Time Series Optimized Transformer for Observability Ben Cohen, E. Khwaja, Kan Wang, Charles Masson, Elise Ram'e, Youssef Doubli, Othmane Abou-Amal 2024-07-10 ArXiv 0 4
visibility_off Understanding Different Design Choices in Training Large Time Series Models Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-yuan Chang, Qiaoyu Tan, D. Zha, Xia Hu 2024-06-20 ArXiv 0 22
visibility_off A Pure Transformer Pretraining Framework on Text-attributed Graphs Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei-dong Jin, Carl Yang, Jiliang Tang, Hui Liu 2024-06-19 ArXiv 0 9
visibility_off In-context Time Series Predictor Jiecheng Lu, Yan Sun, Shihao Yang 2024-05-23 ArXiv 0 1
visibility_off A Scalable and Effective Alternative to Graph Transformers Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, M. F. Balin, Umit V. cCatalyurek 2024-06-17 ArXiv 0 6
visibility_off VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting Yingnan Yang, Qingling Zhu, Jianyong Chen 2024-05-19 ArXiv 0 9
visibility_off Omni-Dimensional Frequency Learner for General Time Series Analysis Xianing Chen.Hanting Chen, Hailin Hu 2024-07-15 ArXiv 0 0
visibility_off DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting Yuxuan Shu, Vasileios Lampos 2024-06-11 ArXiv 0 24
visibility_off TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting Shiyu Wang, Haixu Wu, X. Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou 2024-05-23 ArXiv 13 13
visibility_off TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li Liu, Yuxuan Liang 2024-06-06 ArXiv 1 5
visibility_off MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series Zhicheng Chen, Xi Xiao, Ke Xu, Zhong Zhang, Yu Rong, Qing Li, Guojun Gan, Zhiqiang Xu, Peilin Zhao 2024-05-30 ArXiv 0 1
visibility_off Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing Egon Pervsak, Miguel F. Anjos, Sebastian Lautz, Aleksandar Kolev 2024-07-03 ArXiv 0 0
visibility_off Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks Aref Einizade, Fragkiskos D. Malliaros, Jhony H. Giraldo 2024-05-29 ArXiv 0 17
visibility_off Efficient Time Series Processing for Transformers and State-Space Models through Token Merging Leon Götz, Marcel Kollovieh, Stephan Günnemann, Leo Schwinn 2024-05-28 ArXiv 0 7
visibility_off FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting Ruiqi Li, Maowei Jiang, Kai Wang, Kaiduo Feng, Quangao Liu, Yue Sun, Xiufang Zhou 2024-05-22 ArXiv 0 2
visibility_off What Can We Learn from State Space Models for Machine Learning on Graphs? Yinan Huang, Siqi Miao, Pan Li 2024-06-09 ArXiv 0 2
visibility_off Large language models can be zero-shot anomaly detectors for time series? Sarah Alnegheimish, Linh Nguyen, Laure Berti-Equille, K. Veeramachaneni 2024-05-23 ArXiv 1 33
visibility_off FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling Zhengnan Li, Yunxiao Qin, Xilong Cheng, Yuting Tan 2024-05-24 ArXiv 0 0
visibility_off Performance Evaluation of Sequence Model Architectures for Load Forecasting: A Comparative Study G. Sideratos, A. Dimeas, N. Hatziargyriou 2024-05-20 2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE) 0 11
visibility_off Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues Zhijian Xu, Yuxuan Bian, Jianyuan Zhong, Xiangyu Wen, Qiang Xu 2024-05-22 ArXiv 0 3
visibility_off Fine-grained Attention in Hierarchical Transformers for Tabular Time-series Raphaël Azorin, Z. B. Houidi, Massimo Gallo, A. Finamore, Pietro Michiardi 2024-06-21 ArXiv 0 24
visibility_off Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation S. Zhang, S. Wang, H. Miao, H. Chen, C. Fan, J. Zhang 2024-05-21 ArXiv 0 10
visibility_off Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models Litton J. Kurisinkel, Pruthwik Mishra, Yue Zhang 2024-07-04 ArXiv 0 5
visibility_off HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model Zhenyu Pan, Yoonsung Jeong, Xiaoda Liu, Han Liu 2024-05-22 ArXiv 0 2
visibility_off Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data Yufei He, Zhenyu Hou, Yukuo Cen, Feng He, Xu Cheng, Bryan Hooi 2024-07-04 ArXiv 0 12
visibility_off Learning Long Range Dependencies on Graphs via Random Walks Dexiong Chen, Till Hendrik Schulz, Karsten Borgwardt 2024-06-05 ArXiv 0 8
visibility_off A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting Remi Genet, Hugo Inzirillo 2024-06-04 ArXiv 5 1
visibility_off Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models Ali Behrouz, Michele Santacatterina, Ramin Zabih 2024-06-06 ArXiv 0 8
visibility_off Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven Dandan Zhang, Zhiqiang Zhang, Nanguang Chen, Yun Wang 2024-05-20 ArXiv 0 1
visibility_off Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs Ahmad Naser Eddin, Jacopo Bono, David Apar'icio, Hugo Ferreira, Pedro Ribeiro, P. Bizarro 2024-07-10 ArXiv 0 17
visibility_off Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations Shivam Grover, Amin Jalali, Ali Etemad 2024-05-30 ArXiv 0 1
visibility_off Towards Neural Scaling Laws for Foundation Models on Temporal Graphs Razieh Shirzadkhani, Tran Gia Bao Ngo, Kiarash Shamsi, Shenyang Huang, Farimah Poursafaei, Poupak Azad, Reihaneh Rabbany, Baris Coskunuzer, Guillaume Rabusseau, C. Akcora 2024-06-14 ArXiv 0 19
visibility_off Hierarchical Classification Auxiliary Network for Time Series Forecasting Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu 2024-05-29 ArXiv 0 17
visibility_off Timeless Foundations: Exploring DC-VAEs as Foundation Models for Time Series Analysis Gastón García González, P. Casas, Emilio Martínez, Alicia Fernández 2024-05-21 2024 8th Network Traffic Measurement and Analysis Conference (TMA) 0 4
visibility_off TDT Loss Takes It All: Integrating Temporal Dependencies among Targets into Non-Autoregressive Time Series Forecasting Qi Xiong, Kai Tang, Minbo Ma, Jie Xu, Tianrui Li 2024-06-07 ArXiv 0 4
visibility_off Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning Chun-Kai Huang, Yi-Hsien Hsieh, Ta-Jung Chien, Li-Cheng Chien, Shao-Hua Sun, T. Su, J. Kao, Che Lin 2024-05-26 ArXiv 0 87
visibility_off Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An 2024-06-29 ArXiv 0 3
visibility_off Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. A. Prakash 2024-06-13 ArXiv 0 9
visibility_off Capturing Temporal Components for Time Series Classification Venkata Ragavendra Vavilthota, Ranjith Ramanathan, Sathyanarayanan N. Aakur 2024-06-20 ArXiv 0 7
visibility_off Long Range Propagation on Continuous-Time Dynamic Graphs Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt 2024-06-04 ArXiv 0 10
visibility_off MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs Georgios Chatzigeorgakidis, Konstantinos Lentzos, Dimitrios Skoutas 2024-05-13 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW) 0 7
visibility_off Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability Kunpeng Xu, Lifei Chen, Shengrui Wang 2024-06-04 ArXiv 7 4
visibility_off F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data Zexing Xu, Linjun Zhang, Sitan Yang, Rasoul Etesami, Hanghang Tong, Huan Zhang, Jiawei Han 2024-06-23 ArXiv 0 1
visibility_off Scaling-laws for Large Time-series Models Thomas D. P. Edwards, James Alvey, Justin Alsing, Nam H. Nguyen, B. Wandelt 2024-05-22 ArXiv 0 98
visibility_off Time-series representation learning via Time-Frequency Fusion Contrasting Wenbo Zhao, Ling Fan 2024-06-12 Frontiers in Artificial Intelligence 0 1
visibility_off BiLSTM-MLAM: A Multi-Scale Time Series Prediction Model for Sensor Data Based on Bi-LSTM and Local Attention Mechanisms Yongxin Fan, Qian Tang, Yangming Guo, Yifei Wei 2024-06-01 Sensors (Basel, Switzerland) 0 1
visibility_off EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation Yuda Wang, Xuxin He, Shengxin Zhu 2024-06-04 ArXiv 1 1
visibility_off Membership Inference Attacks Against Time-Series Models Noam Koren, Abigail Goldsteen, Ariel Farkash, Guy Amit 2024-07-03 ArXiv 0 8
visibility_off Slot State Space Models Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn 2024-06-18 ArXiv 0 10
visibility_off Mamba Hawkes Process Anningzhe Gao, Shan Dai, Yan Hu 2024-07-07 ArXiv 0 1
visibility_off Probability Passing for Graph Neural Networks: Graph Structure and Representations Joint Learning Ziteng Wang, YaXuan He, Bin Liu 2024-07-15 ArXiv 0 14
visibility_off Boosting X-formers with Structured Matrix for Long Sequence Time Series Forecasting Zhicheng Zhang, Yong Wang, Shaoqi Tan, Bowei Xia, Yujie Luo, 2024-05-21 ArXiv 0 3
visibility_off SFANet: Spatial-Frequency Attention Network for Weather Forecasting Jiaze Wang, Hao Chen, Hongcan Xu, Jinpeng Li, Bo-Lan Wang, Kun Shao, Furui Liu, Huaxi Chen, Guangyong Chen, P. Heng 2024-05-29 ArXiv 0 3
visibility_off ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran 2024-05-23 ArXiv 0 2
visibility_off Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform Noam Koren, Kira Radinsky 2024-05-22 ArXiv 1 24
visibility_off Long Short-term Cognitive Networks: An Empirical Performance Study Gonzalo Nápoles, Isel Grau 2024-05-23 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) 0 13
visibility_off PDMLP: Patch-based Decomposed MLP for Long-Term Time Series Forecasting Peiwang Tang, Weitai Zhang 2024-05-22 ArXiv 0 0
visibility_off Forecasting with Deep Learning: Beyond Average of Average of Average Performance Vítor Cerqueira, Luis Roque, Carlos Soares 2024-06-24 ArXiv 0 13
visibility_off Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting Yuansan Liu, S. Wijewickrema, Dongting Hu, C. Bester, Stephen O'Leary, James Bailey 2024-06-05 ArXiv 0 15
visibility_off Efficient and Effective Implicit Dynamic Graph Neural Network Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari 2024-06-25 ArXiv 0 4
visibility_off A Language Model-Guided Framework for Mining Time Series with Distributional Shifts Haibei Zhu, Yousef El-Laham, Elizabeth Fons, Svitlana Vyetrenko 2024-06-07 ArXiv 0 7
visibility_off Improving Time-Series Forecasting Performance Using Imputation Techniques in Deep Learning Agung Bella, Putra Utama, Wahyu Sakti, Gunawan Irianto, A. Wibawa, A. N. Handayani, Amat Nyoto 2024-06-06 2024 International Conference on Smart Computing, IoT and Machine Learning (SIML) 0 15
visibility_off Rethinking Independent Cross-Entropy Loss For Graph-Structured Data Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang 2024-05-24 ArXiv 0 5
visibility_off Contaminant Transport Modeling and Source Attribution With Attention‐Based Graph Neural Network Min Pang, E. Du, Chunmiao Zheng 2024-06-01 Water Resources Research 0 11
visibility_off Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting Sanghyun Lee, Chanyoung Park 2024-06-04 ArXiv 0 0
visibility_off UnitNorm: Rethinking Normalization for Transformers in Time Series Nan Huang, C. Kümmerle, Xiang Zhang 2024-05-24 ArXiv 0 5
visibility_off Graph Knowledge Distillation to Mixture of Experts P. Rumiantsev, Mark Coates 2024-06-17 ArXiv 0 1
visibility_off Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Yurui Lai, Xiaoyang Lin, Renchi Yang, Hongtao Wang 2024-06-08 ArXiv 0 10
visibility_off TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing Namjoon Suh, Yuning Yang, Din-Yin Hsieh, Qitong Luan, Shirong Xu, Shixiang Zhu, Guang Cheng 2024-06-23 ArXiv 0 3
visibility_off Stock Movement Prediction with Multimodal Stable Fusion via Gated Cross-Attention Mechanism Chang Zong, Jian Shao, Weiming Lu, Yueting Zhuang 2024-06-06 ArXiv 0 2
visibility_off CEEMD-based Multivariate Financial Time Series Forecasting using a Temporal Fusion Transformer Raymond Ho, Kevin Hung 2024-05-24 2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE) 0 3
visibility_off Integrating gated recurrent unit in graph neural network to improve infectious disease prediction: an attempt Xu-dong Liu, Bo-han Hou, Zhong-jun Xie, Ning Feng, Xiao−ping Dong 2024-05-20 Frontiers in Public Health 0 1
visibility_off Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers Chao Lou, Zixia Jia, Zilong Zheng, Kewei Tu 2024-06-24 ArXiv 0 21
visibility_off NFCL: Simply interpretable neural networks for a short-term multivariate forecasting Wonkeun Jo, Dongil Kim 2024-05-22 ArXiv 0 5
visibility_off FPN-fusion: Enhanced Linear Complexity Time Series Forecasting Model Chu Li, Bingjia Xiao, Q. Yuan 2024-06-06 ArXiv 0 1
visibility_off Unilateral boundary time series forecasting Chao-Min Chang, Cheng-Te Li, Shou-de Lin 2024-06-05 Frontiers in Big Data 0 2
visibility_off Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection Junqi Chen, Xu Tan, S. Rahardja, Jiawei Yang, S. Rahardja 2024-05-30 ArXiv 0 37
visibility_off Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting Jiaxi Hu, Disen Lan, Ziyu Zhou, Qingsong Wen, Yuxuan Liang 2024-05-25 ArXiv 2 5
visibility_off Many-to-Many Prediction for Effective Modeling of Frequent Label Transitions in Time Series Alexander Katrompas, V. Metsis 2024-06-26 Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments 0 17
visibility_off Foundations and Frontiers of Graph Learning Theory Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen 2024-07-03 ArXiv 0 37
visibility_off TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation Jian Qian, Miao Sun, Sifan Zhou, Biao Wan, Minhao Li, Patrick Chiang 2024-07-05 ArXiv 0 0
visibility_off State Space Models on Temporal Graphs: A First-Principles Study Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng 2024-06-03 ArXiv 0 10
visibility_off Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting Sojung An, Tae-Jin Oh, Eunha Sohn, Donghyun Kim 2024-06-07 ArXiv 0 1
visibility_off In-Context Learning of Physical Properties: Few-Shot Adaptation to Out-of-Distribution Molecular Graphs Grzegorz Kaszuba, Amirhossein D. Naghdi, Dario Massa, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski 2024-06-03 ArXiv 0 2
visibility_off Frequency-Enhanced Transformer with Symmetry-Based Lightweight Multi-Representation for Multivariate Time Series Forecasting Chenyue Wang, Zhouyuan Zhang, Xin Wang, Mingyang Liu, Lin Chen, Jiatian Pi 2024-06-25 Symmetry 0 1
visibility_off GraphAny: A Foundation Model for Node Classification on Any Graph Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael Bronstein, Zhaocheng Zhu, Jian Tang 2024-05-30 ArXiv 3 19
visibility_off Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs J. V. Pichowski, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes 2024-06-24 ArXiv 0 8
visibility_off Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Mode Yuxing Tian, Yiyan Qi, Aiwen Jiang, Qi Huang, Jian Guo 2024-07-11 ArXiv 0 2
visibility_off Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns Haoren Zhu, Pengfei Zhao, NG WilfredSiuHung, Dik Lun Lee 2024-06-13 ArXiv 0 2
visibility_off Kolmogorov-Arnold Graph Neural Networks Gianluca De Carlo, A. Mastropietro, Aris Anagnostopoulos 2024-06-26 ArXiv 0 4
visibility_off Temporal Graph Rewiring with Expander Graphs Katarina Petrovi'c, Shenyang Huang, Farimah Poursafaei, Petar Velickovic 2024-06-04 ArXiv 0 2
visibility_off Scaling Law for Time Series Forecasting Jingzhe Shi, Qinwei Ma, Huan Ma, Lei Li 2024-05-24 ArXiv 1 1
visibility_off Synergistic Deep Graph Clustering Network Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu 2024-06-22 ArXiv 0 11
visibility_off Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecasting Qi Sima, Xinze Zhang, Yukun Bao, Siyue Yang, Liang Shen 2024-06-14 ArXiv 0 0
visibility_off Enhanced Spatiotemporal Prediction Using Physical-guided And Frequency-enhanced Recurrent Neural Networks Xuanle Zhao, Yue Sun, Tielin Zhang, Bo Xu 2024-05-23 ArXiv 0 15
visibility_off Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder Shifei Ding, Benyu Wu, Ling Ding, Xiao Xu, Lili Guo, Hongmei Liao, Xindong Wu 2024-06-28 ACM Transactions on Knowledge Discovery from Data 0 11
visibility_off A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections Jewel Rana Palit, Osama A Osman 2024-06-02 ArXiv 0 1
visibility_off Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan 2024-06-07 ArXiv 0 0
visibility_off A Unified Implicit Attention Formulation for Gated-Linear Recurrent Sequence Models Itamar Zimerman, Ameen Ali, Lior Wolf 2024-05-26 ArXiv 1 4
visibility_off Transformer Conformal Prediction for Time Series Junghwan Lee, Chen Xu, Yao Xie 2024-06-08 ArXiv 0 7
visibility_off Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models David Bergstrom, Mattias Tiger, Fredrik Heintz 2024-06-18 ArXiv 0 6
visibility_off Dynamic Context Adaptation and Information Flow Control in Transformers: Introducing the Evaluator Adjuster Unit and Gated Residual Connections Sahil Rajesh Dhayalkar 2024-05-22 ArXiv 0 0
visibility_off A TCN-Linear Hybrid Model for Chaotic Time Series Forecasting Mengjiao Wang, Fengtai Qin 2024-05-29 Entropy 0 14
visibility_off Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks Yuwen Wang, Shunyu Liu, Tongya Zheng, Kaixuan Chen, Mingli Song 2024-07-02 ArXiv 0 7
visibility_off DAGER: Exact Gradient Inversion for Large Language Models Ivo Petrov, D. I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin T. Vechev 2024-05-24 ArXiv 0 54
visibility_off Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal 2024-05-20 ArXiv 0 0
visibility_off Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle, William Eberle 2024-05-29 ACM Transactions on Knowledge Discovery from Data 0 0
visibility_off Spatial-temporal Attention Model Based on Transformer Architecture for Anomaly Detection in Multivariate Time Series Data Lai Zeng Lai Zeng, Xiaomei Yang Lai Zeng 2024-06-01 電腦學刊 0 0
visibility_off Attending to Topological Spaces: The Cellular Transformer Rubén Ballester, Pablo Hern'andez-Garc'ia, Mathilde Papillon, Claudio Battiloro, Nina Miolane, Tolga Birdal, Carles Casacuberta, Sergio Escalera, Mustafa Hajij 2024-05-23 ArXiv 2 16
visibility_off Corrector LSTM: built-in training data correction for improved time-series forecasting Yassine Baghoussi, Carlos Soares, João Mendes-Moreira 2024-05-23 Neural Computing and Applications 0 20
visibility_off Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang 2024-07-12 ArXiv 0 1
visibility_off Temporal Convolution Derived Multi-Layered Reservoir Computing Johannes Viehweg, Dominik Walther, Prof. Dr.-Ing. Patrick Mader 2024-07-09 ArXiv 0 2
visibility_off Learning Divergence Fields for Shift-Robust Graph Representations Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan 2024-06-07 ArXiv 0 17
visibility_off MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model Integrating CNN, LSTM, and GRU Md Abrar Jahin, Asef Shahriar, Md Al Amin 2024-05-24 ArXiv 0 2
visibility_off Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Chengqi Zhang, Shirui Pan 2024-05-23 ArXiv 0 8
visibility_off Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, I. Redko 2024-06-14 ArXiv 0 49
visibility_off Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai 2024-06-06 ArXiv 0 1
visibility_off Bundle Neural Networks for message diffusion on graphs Jacob Bamberger, Federico Barbero, Xiaowen Dong, Michael Bronstein 2024-05-24 ArXiv 0 6
visibility_off Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, A. Luu 2024-05-28 ArXiv 4 20
visibility_off Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs Tim Postuvan, Claas Grohnfeldt, Michele Russo, Giulio Lovisotto 2024-05-28 ArXiv 0 10
visibility_off Assessing the Impact of Seasonal Decomposition on the Time Series Analysis Accuracy: A Comprehensive Study Shivam Raghuvanshi 2024-05-31 International Journal for Research in Applied Science and Engineering Technology 0 0
visibility_off Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization Sheo Yon Jhin, Seojin Kim, Noseong Park 2024-06-29 ArXiv 0 1
visibility_off Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting Vijaya Krishna Yalavarthi, Randolf Scholz, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme 2024-06-11 ArXiv 0 4
visibility_off SMR: State Memory Replay for Long Sequence Modeling Biqing Qi, Junqi Gao, Kaiyan Zhang, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou 2024-05-27 ArXiv 1 8
visibility_off Graph Condensation for Open-World Graph Learning Xin Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin 2024-05-27 ArXiv 1 4
visibility_off Conformal time series decomposition with component-wise exchangeability Derck W. E. Prinzhorn, Thijmen Nijdam, Putri A. van der Linden, Alexander Timans 2024-06-24 ArXiv 0 0
visibility_off Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta 2024-06-12 ArXiv 0 7
visibility_off Adapting Random Simple Recurrent Network for Online Forecasting Problems Mohammed Elmahdi Khennour, A. Bouchachia, M. L. Kherfi, Khadra Bouanane, Oussama Aiadi 2024-05-23 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) 0 29
visibility_off Anomaly detection in multivariate time series data using deep ensemble models Amjad Iqbal, Rashid Amin, Faisal S. Alsubaei, Abdulrahman Alzahrani 2024-06-06 PLOS ONE 1 4
visibility_off How Well Can a Long Sequence Model Model Long Sequences? Comparing Architechtural Inductive Biases on Long-Context Abilities Jerry Huang 2024-07-11 ArXiv 0 0
visibility_off Deep Learning Surrogate Models for Network Simulation M. Dearing 2024-06-24 Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation 0 3
visibility_off Multiview Spatial-Temporal Meta-Learning for Multivariate Time Series Forecasting Liang Zhang, Jianping Zhu, Bo Jin, Xiaopeng Wei 2024-07-10 Sensors 0 6
visibility_off ARIMA Model Time Series Forecasting Mohd Faizan Rizvi 2024-05-31 International Journal for Research in Applied Science and Engineering Technology 0 0
visibility_off Residual Temporal Convolutional Network With Dual Attention Mechanism for Multilead-Time Interpretable Runoff Forecasting. Ziyu Sheng, Yuting Cao, Yin Yang, Zhong-Kai Feng, Kaibo Shi, Tingwen Huang, Shiping Wen 2024-06-13 IEEE transactions on neural networks and learning systems 0 17
visibility_off A Regional Short-term Load Forecasting Method Based on Adaptive Graph Construction and Kernel Size Selection Jiansheng Zhao, Haonan Dai, Z. Zhen, Fei Wang 2024-05-19 2024 IEEE/IAS 60th Industrial and Commercial Power Systems Technical Conference (I&CPS) 0 21
visibility_off Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong 2024-06-03 ArXiv 0 8
visibility_off LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu 2024-05-20 ArXiv 0 3
visibility_off HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? Ivan Karpukhin, F. Shipilov, Andrey Savchenko 2024-06-20 ArXiv 0 0
visibility_off Preparing for Disease X: Predicting ICU Admissions Using Time Series Forecasting with Decoder-Only Transformer Neural Networks Nejc Čelik, Andrej Škraba 2024-05-29 Resilience Through Digital Innovation: Enabling the Twin Transition 0 0
visibility_off TSI-Bench: Benchmarking Time Series Imputation Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. A. Prakash, Qingsong Wen 2024-06-18 ArXiv 0 4
visibility_off Bond Graphs for multi-physics informed Neural Networks for multi-variate time series Alexis-Raja Brachet, Pierre-Yves Richard, C'eline Hudelot 2024-05-22 ArXiv 0 1
visibility_off TGC-ARG: Anticipating Antibiotic Resistance via Transformer-Based Modeling and Contrastive Learning Yihan Dong, Hanming Quan, Chenxi Ma, Linchao Shan, Lei Deng 2024-06-30 International Journal of Molecular Sciences 0 1
visibility_off Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu 2024-05-27 ArXiv 0 4
visibility_off GNNAnatomy: Systematic Generation and Evaluation of Multi-Level Explanations for Graph Neural Networks Hsiao-Ying Lu, Yiran Li, Ujwal Pratap Krishna Kaluvakolanu Thyagarajan, Kwan-Liu Ma 2024-06-06 ArXiv 0 6
visibility_off Fusion of Movement and Naive Predictions for Point Forecasting in Univariate Random Walks Cheng Zhang 2024-06-20 ArXiv 0 0
visibility_off GNAR: graph contrastive learning networks with adaptive readouts for anomaly detection changcheng wan, Suixiang Gao 2024-06-08 None 0 0
visibility_off STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning Wei Shao, Yufan Kang, Ziyan Peng, Xiao Xiao, Lei Wang, Yuhui Yang, Flora D. Salim 2024-06-06 ArXiv 0 3
visibility_off Efficient World Models with Context-Aware Tokenization Vincent Micheli, Eloi Alonso, Franccois Fleuret 2024-06-27 ArXiv 0 11
visibility_off Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training Jiancheng Xie, Lou C. Kohler Voinov, Noga Mudrik, Gal Mishne, Adam S. Charles 2024-06-04 ArXiv 0 13
visibility_off Alternators For Sequence Modeling Mohammad Reza Rezaei, Adji B. Dieng 2024-05-20 ArXiv 0 13
visibility_off Parallelizing Linear Transformers with the Delta Rule over Sequence Length Songlin Yang, Bailin Wang, Yu Zhang, Yikang Shen, Yoon Kim 2024-06-10 ArXiv 0 9
visibility_off Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction Junzhi Wen, R. Angryk 2024-05-31 ArXiv 0 22
visibility_off HLOB - Information Persistence and Structure in Limit Order Books Antonio Briola, Silvia Bartolucci, T. Aste 2024-05-29 ArXiv 0 47
visibility_off Predictive Analysis of Sarajevo’s AQI using Machine Learning Models for Varied Data Granularity and Prediction Windows Emina Zolota, Vahidin Hasić, Amina Mević, Amra Delić, Senka Krivic 2024-05-20 2024 47th MIPRO ICT and Electronics Convention (MIPRO) 0 8
visibility_off KPG: Key Propagation Graph Generator for Rumor Detection based on Reinforcement Learning Yusong Zhang, Kun Xie, Xingyi Zhang, Xiangyu Dong, Sibo Wang 2024-05-21 ArXiv 0 4
visibility_off A spatial‐temporal graph gated transformer for traffic forecasting Haroun Bouchemoukha, M. Zennir, Ahmed Alioua 2024-06-26 Transactions on Emerging Telecommunications Technologies 0 4
visibility_off An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction Qinhua Jiang, Xishun Liao, Yaofa Gong, Jiaqi Ma 2024-05-31 ArXiv 1 4
visibility_off Global-local graph attention: unifying global and local attention for node classification Keao Lin, Xiao-Zhu Xie, Wei Weng, Xiaofeng Du 2024-07-11 The Computer Journal 0 1
visibility_off Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference Xuehao Zhai, Junqi Jiang, Adam Dejl, Antonio Rago, Fangce Guo, Francesca Toni, Aruna Sivakumar 2024-06-19 ArXiv 0 14
visibility_off Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call Graphlets Josh Collyer, Tim Watson, Iain Phillips 2024-06-02 ArXiv 0 1
visibility_off Spatio-temporal Attention-based Hidden Physics-informed Neural Network for Remaining Useful Life Prediction Feilong Jiang, Xiaonan Hou, Min Xia 2024-05-20 ArXiv 0 1
visibility_off IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs Haoran Yang, Xiaobing Pei, Kai Yuan 2024-06-02 ArXiv 0 1
visibility_off GNNTAL:A Novel Model for Identifying Critical Nodes in Complex Networks Hao Wang, Ting Luo, Shuang-ping Yang, Ming Jing, Jian Wang, Na Zhao 2024-06-24 ArXiv 0 3
visibility_off Multi-variable Adversarial Time-Series Forecast Model Xiaoqiao Chen 2024-06-02 ArXiv 0 0
visibility_off Nonlinear time-series embedding by monotone variational inequality Jonathan Y. Zhou, Yao Xie 2024-06-11 ArXiv 0 0
visibility_off Distributional Refinement Network: Distributional Forecasting via Deep Learning Benjamin Avanzi, Eric Dong, P. Laub, Bernard Wong 2024-06-03 ArXiv 0 14
visibility_off Addressing the Non-Stationarity and Complexity of Time Series Data for Long-Term Forecasts Ranjai Baidya, Sang-Woong Lee 2024-05-23 Applied Sciences 0 4
visibility_off Research on load clustering algorithm based on variational autoencoder and hierarchical clustering Miaozhuang Cai, Yin Zheng, Zhengyang Peng, Chunyan Huang, Haoxia Jiang 2024-06-13 PLOS ONE 0 1
visibility_off Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs Hrishikesh Viswanath, Yue Chang, Julius Berner, Peter Yichen Chen, Aniket Bera 2024-07-04 ArXiv 0 28
visibility_off Separations in the Representational Capabilities of Transformers and Recurrent Architectures S. Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade 2024-06-13 ArXiv 0 10
visibility_off Situational awareness on a graph: towards graph neural networks for spectrum analysis and battlefield management Jeff Anderson 2024-06-06 None 0 0
visibility_off Stacking for Probabilistic Short-Term Load Forecasting Grzegorz Dudek 2024-06-15 DBLP, ArXiv 0 0
visibility_off Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification Jiachen Chen, Danyang Huang, Liyuan Wang, Kathryn L. Lunetta, Debarghya Mukherjee, Huimin Cheng 2024-05-26 ArXiv 0 4
visibility_off Cross-Temporal Hierarchical Forecast Reconciliation of Natural Gas Demand Colin O. Quinn, G. Corliss, Richard J. Povinelli 2024-06-21 Energies 0 27
visibility_off TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomials Yan Ru Pei, Olivier Coenen 2024-05-20 ArXiv 0 2
visibility_off Predicting grid frequency short-term dynamics with Gaussian processes and sequence modeling Bolin Liu, Maximilian Coblenz, Oliver Grothe 2024-05-31 Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems 0 5
visibility_off Explaining time series models using frequency masking Thea Brusch, Kristoffer Wickstrøm, Mikkel N. Schmidt, T. S. Alstrøm, Robert Jenssen 2024-06-19 ArXiv 0 12
visibility_off SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learning Hongfei Wu, Lijun Wu, Guoqing Liu, Zhirong Liu, Bin Shao, Zun Wang 2024-05-26 ArXiv 0 5
visibility_off DeFiGuard: A Price Manipulation Detection Service in DeFi using Graph Neural Networks Dabao Wang, Bang Wu, Xingliang Yuan, Lei Wu, Yajin Zhou, Helei Cui 2024-06-17 ArXiv 0 8
visibility_off Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim 2024-06-10 ArXiv 0 0
visibility_off Exploring the Evolution of Hidden Activations with Live-Update Visualization Xianglin Yang, Jin Song Dong 2024-05-24 ArXiv 0 0
visibility_off SimLOB: Learning Representations of Limited Order Book for Financial Market Simulation Yuanzhe Li, Yue Wu, Peng Yang 2024-06-27 ArXiv 0 0
visibility_off SigDiffusions: Score-Based Diffusion Models for Long Time Series via Log-Signature Embeddings Barbora Barancikova, Zhuoyue Huang, Cristopher Salvi 2024-06-14 ArXiv 0 1
visibility_off Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem Chu-Hsuan Abraham Lin, Chen-Yu Liu, Kuan-Cheng Chen 2024-07-11 ArXiv 0 2
visibility_off An Aggregated Baseline Load Estimation Method Based on Graph Convolutional Networks Introducing Graph Structure Learning Xuefeng Peng, Fei Wang, X. Ge, Yuqing Wang 2024-05-19 2024 IEEE/IAS 60th Industrial and Commercial Power Systems Technical Conference (I&CPS) 0 11
visibility_off Time Elastic Neural Networks Pierre-Franccois Marteau 2024-05-27 ArXiv 0 0
visibility_off Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System Abdullah M. Zyarah, D. Kudithipudi 2024-05-22 ArXiv 0 20
visibility_off Spatiotemporal Dynamic Multi-Hop Network for Traffic Flow Forecasting Wenguang Chai, Qingfeng Luo, Zhizhe Lin, Jingwen Yan, Jinglin Zhou, Teng Zhou 2024-07-09 Sustainability 0 11
visibility_off A data-centric approach for assessing progress of Graph Neural Networks Tianqi Zhao, Ngan Thi Dong, Alan Hanjalic, Megha Khosla 2024-06-18 ArXiv 0 2
visibility_off An All-MLP Sequence Modeling Architecture That Excels at Copying Chenwei Cui, Zehao Yan, Gedeon Muhawenayo, Hannah Kerner 2024-06-23 ArXiv 0 2
visibility_off Health supply chain forecasting: a comparison of ARIMA and LSTM time series models for demand prediction of medicines F. Mbonyinshuti, Joseph Nkurunziza, J. Niyobuhungiro, Egide Kayitare 2024-06-30 Acta logistica 0 6
visibility_off Adaptive predictive modeling with online learning: addressing data drift challenges in historical data for distributed inferencing Cleon Anderson, Scott E. Brown, David Harman, M. Dwyer 2024-06-07 None 0 3
visibility_off A binary-domain recurrent-like architecture-based dynamic graph neural network Zi-chao Chen, Sui Lin 2024-06-25 Auton. Intell. Syst. 0 0
visibility_off Evaluating Recurrent Neural Networks for prediction of Multi- Variate time series VoIP metrics M. Di Mauro, G. Galatro, F. Postiglione, W. Song, A. Liotta 2024-06-11 2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet) 0 7
visibility_off Multivariate Bayesian Time-Series Model with Multi-temporal Convolution Network for Forecasting Stock Market During COVID-19 Pandemic Paramita Ray, B. Ganguli, Amlan Chakrabarti 2024-06-27 Int. J. Comput. Intell. Syst. 0 13
visibility_off Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks Joel Oskarsson, Tomas Landelius, M. Deisenroth, Fredrik Lindsten 2024-06-07 ArXiv 1 44
visibility_off Continuous Temporal Domain Generalization Z. Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao 2024-05-25 ArXiv 1 18
visibility_off Recurrent Stochastic Configuration Networks for Temporal Data Analytics Dianhui Wang, Gang Dang 2024-06-21 ArXiv 0 1
visibility_off Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts Romain Pic, Cl'ement Dombry, Philippe Naveau, Maxime Taillardat 2024-07-02 ArXiv 0 7
visibility_off DyHANE: dynamic heterogeneous attributed network embedding through experience node replay Liliana Martirano, D. Ienco, R. Interdonato, Andrea Tagarelli 2024-07-05 Appl. Netw. Sci. 0 29
visibility_off Deep LPPLS: Forecasting of temporal critical points in natural, engineering and financial systems Joshua Nielsen, Didier Sornette, M. Raissi 2024-05-21 ArXiv 0 24
visibility_off A Large Reservoir Computing Forecasting Method Based on Randomized Fuzzy Cognitive Maps Omid Orang, F. J. Erazo-Costa, Petrônio C. L. Silva, Guilherme de Alencar Barreto, F. G. Guimarães 2024-05-23 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) 0 12
visibility_off Stock Volume Forecasting with Advanced Information by Conditional Variational Auto-Encoder Parley R Yang, Alexander Y. Shestopaloff 2024-06-19 ArXiv 0 7
visibility_off Semi-supervised contrastive learning with decomposition-based data augmentation for time series classification Dokyun Kim, Sukhyun Cho, Heewoong Chae, Jonghun Park, Jaeseok Huh 2024-05-30 Intelligent Data Analysis 0 4
visibility_off Time Series Forecasting with Many Predictors Shuo-chieh Huang, R. Tsay 2024-06-13 ArXiv 0 50
visibility_off Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting Michalis Giannopoulos, G. Tsagkatakis, P. Tsakalides 2024-06-04 Remote. Sens. 0 31
visibility_off Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference Carlos Sebasti'an, Carlos E. Gonz'alez-Guill'en, Jes'us Juan 2024-06-21 ArXiv 0 1
visibility_off A Meta-learner approach to multistep-ahead time series prediction Fouad Bahrpeyma, V. M. Ngo, M. Roantree, A. Mccarren 2024-07-09 International Journal of Data Science and Analytics 0 17
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