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Recommendations for the article Constraint-based graph network simulator
Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
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visibility_off | Hamiltonian Graph Networks with ODE Integrators | Alvaro Sanchez-Gonzalez, V. Bapst, Kyle Cranmer, P. Battaglia | 2019-09-27 | ArXiv | 160 | 46 |
visibility_off | Accurately Solving Physical Systems with Graph Learning | Han Shao, Tassilo Kugelstadt, Wojciech Palubicki, Jan Bender, S. Pirk, D. Michels | 2020-06-06 | ArXiv | 5 | 27 |
visibility_off | Learning to Simulate Complex Physics with Graph Networks | Alvaro Sanchez-Gonzalez, Jonathan Godwin, T. Pfaff, Rex Ying, J. Leskovec, P. Battaglia | 2020-02-21 | ArXiv | 846 | 134 |
visibility_off | Learning the dynamics of particle-based systems with Lagrangian graph neural networks | Ravinder Bhattoo, Sayan Ranu, N. Krishnan | 2022-09-03 | Machine Learning: Science and Technology | 13 | 21 |
visibility_off | Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs | Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan | 2023-05-21 | ArXiv | 2 | 18 |
visibility_off | GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling | Krishna Kumar, J. Vantassel | 2022-11-18 | J. Open Source Softw. | 7 | 9 |
visibility_off | Learning Mesh-Based Simulation with Graph Networks | T. Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, P. Battaglia | 2020-10-07 | ArXiv | 556 | 46 |
visibility_off | Differentiable Physics Simulation | Junbang Liang, M. Lin | 2020-02-26 | 13 | 78 | |
visibility_off | Towards complex dynamic physics system simulation with graph neural ordinary equations | Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan, Phillp S. Yu | 2024-04-01 | Neural networks : the official journal of the International Neural Network Society | 0 | 3 |
Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |