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Recommendations for the article GRAND: Graph Neural Diffusion
Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
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visibility_off | Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals | Tingting Dan, Jiaqi Ding, Ziquan Wei, S. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu | 2023-07-01 | ArXiv | 2 | 39 |
visibility_off | DeepGRAND: Deep Graph Neural Diffusion | Khang Nguyen, Hieu Nong, Khuong Nguyen, Tan M. Nguyen, Vinh Nguyen | 2023-10-29 | 2023 57th Asilomar Conference on Signals, Systems, and Computers | 1 | 1 |
visibility_off | TIDE: Time Derivative Diffusion for Deep Learning on Graphs | Maximilian Krahn, M. Behmanesh, M. Ovsjanikov | 2022-12-05 | ArXiv | 7 | 43 |
visibility_off | On the Robustness of Graph Neural Diffusion to Topology Perturbations | Yang Song, Qiyu Kang, Sijie Wang, Zhao Kai, Wee Peng Tay | 2022-09-16 | ArXiv | 23 | 30 |
visibility_off | A Fractional Graph Laplacian Approach to Oversmoothing | Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok | 2023-05-22 | ArXiv | 16 | 52 |
visibility_off | Beltrami Flow and Neural Diffusion on Graphs | B. Chamberlain, J. Rowbottom, D. Eynard, Francesco Di Giovanni, Xiaowen Dong, M. Bronstein | 2021-10-18 | ArXiv | 64 | 76 |
visibility_off | Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-Smoothing | Guoji Fu, Mohammed Haroon Dupty, Yanfei Dong, Lee Wee Sun | 2023-08-07 | ArXiv | 0 | 6 |
visibility_off | Adaptive Graph Diffusion Networks | Chuxiong Sun, Jie Hu, Hongming Gu, Jinpeng Chen, Mingchuan Yang | 2020-12-30 | ArXiv | 9 | 12 |
Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |