Conditional Neural Relational Inference for Interacting Systems

21 June 2021

Papers citing "Conditional Neural Relational Inference for Interacting Systems"

7 / 7 papers shown

Title
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning Zinan Zheng Yang Liu Jia Li Jianhua Yao Yu Rong AI4CE 27 1 0 24 Jun 2024
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics Lanlan Chen K. Wu Jian Lou Jing Liu 8 5 0 18 Dec 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 8 61 0 03 Feb 2023
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Ðorðe Miladinovic Kumar Shridhar Kushal Kumar Jain Max B. Paulus J. M. Buhmann Mrinmaya Sachan Carl Allen DRL 6 5 0 26 Sep 2022
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 11 32 0 28 Oct 2021
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 226 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 252 1,394 0 01 Dec 2016