Learning to Simulate Complex Physics with Graph Networks

21 February 2020

Alvaro Sanchez-Gonzalez

Papers citing "Learning to Simulate Complex Physics with Graph Networks"

46 / 46 papers shown

Title
DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset Jiaqi He Xiangwen Luo Yiping Wang AI4CE 81 0 0 11 Apr 2025
Advances in 4D Generation: A Survey Qiaowei Miao Kehan Li Jinsheng Quan Zhiyuan Min Shaojie Ma Yichao Xu Yi Yang Yawei Luo 98 1 0 18 Mar 2025
Sampling-based Distributed Training with Message Passing Neural Network P. Kakka Sheel Nidhan Rishikesh Ranade Jay Pathak J. MacArt GNN 93 3 0 20 Feb 2025
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 88 4 0 17 Feb 2025
DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations Rishikesh Ranade M. A. Nabian Kaustubh Tangsali Alexey Kamenev O. Hennigh Ram Cherukuri S. Choudhry AI4CE 109 2 0 23 Jan 2025
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows Benedikt Alkin Tobias Kronlachner Samuele Papa Stefan Pirker Thomas Lichtenegger Johannes Brandstetter PINN AI4CE 68 1 1 14 Nov 2024
Metamizer: a versatile neural optimizer for fast and accurate physics simulations Nils Wandel Stefan Schulz Reinhard Klein PINN AI4CE 60 1 0 10 Oct 2024
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems Bocheng Zeng Qi Wang Ming Yan Yang Liu Ruizhi Chengze Yi Zhang Hongsheng Liu Zidong Wang Hao Sun AI4CE 66 3 0 02 Oct 2024
Video-Driven Graph Network-Based Simulators Franciszek Szewczyk Gilles Louppe M. Sabatelli PINN 56 0 0 10 Sep 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 76 11 0 26 Aug 2024
Compositional Physical Reasoning of Objects and Events from Videos Zhenfang Chen Shilong Dong Kexin Yi Yunzhu Li Mingyu Ding Antonio Torralba Joshua B. Tenenbaum Chuang Gan OCL 71 1 0 02 Aug 2024
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs Hrishikesh Viswanath Yue Chang Julius Berner Julius Berner Peter Yichen Chen Aniket Bera AI4CE 74 2 0 04 Jul 2024
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction Mohamed Elrefaie Angela Dai Faez Ahmed DiffM AI4CE 63 9 0 12 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications Jiaqi Han Jiacheng Cen Liming Wu Zongzhao Li Xiangzhe Kong ... Zhewei Wei Deli Zhao Yu Rong Wenbing Huang Wenbing Huang AI4CE 64 23 0 01 Mar 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 80 11 0 19 Feb 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 54 3 0 25 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 76 10 0 27 Dec 2023
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation Rui Zhang Qi Meng Rongchan Zhu Yue Wang Wenlei Shi Shihua Zhang Zhi-Ming Ma Tie-Yan Liu DiffM AI4CE 70 5 0 10 Feb 2023
Pointer Graph Networks Petar Velivcković Lars Buesing Matthew Overlan Razvan Pascanu Oriol Vinyals Charles Blundell GNN 36 62 0 11 Jun 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 226 929 0 02 Mar 2020
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 56 187 0 21 Jan 2020
JAX, M.D.: A Framework for Differentiable Physics S. Schoenholz E. D. Cubuk 21 37 0 09 Dec 2019
Neural Execution of Graph Algorithms Petar Velickovic Rex Ying Matilde Padovano R. Hadsell Charles Blundell GNN 53 166 0 23 Oct 2019
DiffTaichi: Differentiable Programming for Physical Simulation Yuanming Hu Luke Anderson Tzu-Mao Li Qi Sun N. Carr Jonathan Ragan-Kelley F. Durand 27 377 0 01 Oct 2019
Hamiltonian Graph Networks with ODE Integrators Alvaro Sanchez-Gonzalez V. Bapst Kyle Cranmer Peter W. Battaglia AI4CE 55 177 0 27 Sep 2019
Scale MLPerf-0.6 models on Google TPU-v3 Pods Sameer Kumar Victor Bitorff Dehao Chen Chi-Heng Chou Blake A. Hechtman ... Peter Mattson Shibo Wang Tao Wang Yuanzhong Xu Zongwei Zhou 22 39 0 21 Sep 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 58 89 0 25 Feb 2019
Learning to Predict the Cosmological Structure Formation Siyu He Yin Li Yu Feng S. Ho Siamak Ravanbakhsh Wei Chen Barnabás Póczós 44 168 0 15 Nov 2018
Learning To Simulate Nataniel Ruiz S. Schulter Manmohan Chandraker 68 119 0 05 Oct 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 51 391 0 03 Oct 2018
Propagation Networks for Model-Based Control Under Partial Observation Yunzhu Li Jiajun Wu Jun-Yan Zhu J. Tenenbaum Antonio Torralba Russ Tedrake AI4CE 22 137 0 28 Sep 2018
Relational Forward Models for Multi-Agent Learning Andrea Tacchetti H. F. Song P. Mediano V. Zambaldi Neil C. Rabinowitz T. Graepel M. Botvinick Peter W. Battaglia AI4CE 34 77 0 28 Sep 2018
Flexible Neural Representation for Physics Prediction Damian Mrowca Chengxu Zhuang E. Wang Nick Haber Li Fei-Fei J. Tenenbaum Daniel L. K. Yamins OCL AI4CE 34 248 0 21 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 229 3,101 0 04 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 93 597 0 04 Jun 2018
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow S. Wiewel M. Becher N. Thürey AI4CE 58 274 0 27 Feb 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition Sijie Yan Yuanjun Xiong Dahua Lin GNN 170 4,124 0 23 Jan 2018
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs Rakshit S. Trivedi H. Dai Yichen Wang Le Song BDL 44 475 0 16 May 2017
Dynamic Graph Convolutional Networks Franco Manessi A. Rozza M. Manzo GNN 45 368 0 20 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 201 7,388 0 04 Apr 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 287 439 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 396 1,405 0 01 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 310 28,795 0 09 Sep 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 165 10,412 0 21 Jul 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 262 149,474 0 22 Dec 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 68 4,210 0 04 Jun 2013