Learning to Simulate Complex Physics with Graph Networks

21 February 2020

Alvaro Sanchez-Gonzalez

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

50 / 595 papers shown

Title
Provably expressive temporal graph networks Amauri Souza Diego Mesquita Samuel Kaski Vikas K. Garg 87 54 0 29 Sep 2022
Material Prediction for Design Automation Using Graph Representation Learning Shijie Bian Daniele Grandi Kaveh Hassani Elliot Sadler Bodia Borijin ... Andrew Wang Thomas Lu R. Otis Nhut Ho Bingbing Li AI4CE 22 4 0 26 Sep 2022
Learned Force Fields Are Ready For Ground State Catalyst Discovery Michael Schaarschmidt M. Rivière A. Ganose J. Spencer Alex Gaunt J. Kirkpatrick Simon Axelrod Peter W. Battaglia Jonathan Godwin 8 10 0 26 Sep 2022
Exact conservation laws for neural network integrators of dynamical systems E. Müller PINN 37 12 0 23 Sep 2022
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network Ravinder Bhattoo Sayan Ranu N. M. A. Krishnan AI4CE 26 17 0 23 Sep 2022
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems S. Bishnoi Ravinder Bhattoo Sayan Ranu N. M. A. Krishnan AI4CE 11 19 0 22 Sep 2022
Approximating the full-field temperature evolution in 3D electronic systems from randomized "Minecraft" systems Monika Stipsitz H. Sanchis-Alepuz AI4CE 13 2 0 21 Sep 2022
Towards Real Time Thermal Simulations for Design Optimization using Graph Neural Networks H. Sanchis-Alepuz Monika Stipsitz AI4CE 4 4 0 21 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 45 9 0 20 Sep 2022
EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics A. Longhini Marco Moletta Alfredo Reichlin Michael C. Welle David Held Zackory M. Erickson Danica Kragic AI4CE 20 20 0 19 Sep 2022
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks Hyungeun Lee Kijung Yoon AI4CE 23 2 0 14 Sep 2022
Elastic Context: Encoding Elasticity for Data-driven Models of Textiles A. Longhini Marco Moletta Alfredo Reichlin Michael C. Welle Alexander Kravberg Yufei Wang David Held Zackory M. Erickson Danica Kragic 22 7 0 12 Sep 2022
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 60 79 0 08 Sep 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 38 82 0 07 Sep 2022
Wavelet-based Loss for High-frequency Interface Dynamics L. Prantl Jan Bender Tassilo Kugelstadt Nils Thuerey GAN 16 0 0 06 Sep 2022
Learning Differential Operators for Interpretable Time Series Modeling Yingtao Luo Chang Xu Yang Liu Weiqing Liu Shun Zheng Jiang Bian AI4TS 28 8 0 03 Sep 2022
Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks Ravinder Bhattoo Sayan Ranu N. M. A. Krishnan PINN AI4CE 21 20 0 03 Sep 2022
Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors Yiming Wang Qingzhe Gao Libin Liu Lingjie Liu Christian Theobalt B. Chen 3DH 22 23 0 25 Aug 2022
Interaction Modeling with Multiplex Attention Fan-Yun Sun Isaac Kauvar Ruohan Zhang Jiachen Li Mykel Kochenderfer Jiajun Wu Nick Haber 16 18 0 23 Aug 2022
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis Xuanyuan Han Pietro Barbiero Dobrik Georgiev Lucie Charlotte Magister Pietro Lió MILM 29 41 0 22 Aug 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs Dawei Zhou Lecheng Zheng Dongqi Fu Jiawei Han Jingrui He 27 22 0 21 Aug 2022
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction Jiachen Li Chuanbo Hua Jinkyoo Park Hengbo Ma Victoria M. Dax Mykel J. Kochenderfer 31 7 0 10 Aug 2022
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems Hai V. Nguyen T. Bui-Thanh 23 2 0 09 Aug 2022
PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network Longxiang Jiang Liyuan Wang Xinkun Chu Yonghao Xiao Hao Zhang AI4CE 10 12 0 07 Aug 2022
Accelerating discrete dislocation dynamics simulations with graph neural networks N. Bertin Fei Zhou AI4CE 10 9 0 05 Aug 2022
AG2U -- Autonomous Grading Under Uncertainties Yakov Miron Yuval Goldfracht Chana Ross Dotan Di Castro Itzik Klein 25 3 0 04 Aug 2022
Semi-supervised Learning of Partial Differential Operators and Dynamical Flows Michael Rotman A. Dekel R. Ber Lior Wolf Yaron Oz AI4CE 11 4 0 28 Jul 2022
Privacy and Transparency in Graph Machine Learning: A Unified Perspective Megha Khosla 21 4 0 22 Jul 2022
Transformer with Implicit Edges for Particle-based Physics Simulation Yidi Shao Chen Change Loy Bo Dai 11 15 0 22 Jul 2022
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries Zong-Yi Li Daniel Zhengyu Huang Burigede Liu Anima Anandkumar AI4CE 108 249 0 11 Jul 2022
Automatic Quantization for Physics-Based Simulation Jiafeng Liu Haoyang Shi Siyuan Zhang Yin Yang Chongyang Ma Weiwei Xu MQ 11 0 0 11 Jul 2022
Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue G. Tong Daniele E. Schiavazzi 27 3 0 05 Jul 2022
Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural Networks Simon Ohler Daniel Brady Winfried Lotzsch M. Fleischhauer Johannes Otterbach AI4CE 16 1 0 05 Jul 2022
Learning to correct spectral methods for simulating turbulent flows Gideon Dresdner Dmitrii Kochkov Peter C. Norgaard Leonardo Zepeda-Núnez Jamie A. Smith M. Brenner Stephan Hoyer AI4CE 12 56 0 01 Jul 2022
Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks Winfried Lotzsch Simon Ohler Johannes Otterbach AI4CE 22 18 0 28 Jun 2022
Modeling Oceanic Variables with Dynamic Graph Neural Networks Caio F. D. Netto M. R. Barros Jefferson F. Coelho L. Freitas F. M. Moreno ... M. Dottori Fabio Gagliardi Cozman A. H. R. Costa E. Gomi E. Tannuri 16 1 0 25 Jun 2022
Minority Report: A Graph Network Oracle for In Situ Visualization Krishna Kumar Paul Navratil Andrew J. Solis J. Vantassel 19 1 0 25 Jun 2022
On Structural Explanation of Bias in Graph Neural Networks Yushun Dong Song Wang Yu-Chiang Frank Wang Tyler Derr Jundong Li 37 23 0 24 Jun 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao Tess E. Smidt 75 213 0 23 Jun 2022
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation Cansu Sancaktar Sebastian Blaes Georg Martius LM&Ro 13 24 0 22 Jun 2022
Learning to Estimate and Refine Fluid Motion with Physical Dynamics Mingrui Zhang Jianhong Wang James Tlhomole M. Piggott 22 10 0 21 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 17 20 0 18 Jun 2022
Fast Simulation of Particulate Suspensions Enabled by Graph Neural Network Zhan Ma Zisheng Ye Wenxiao Pan 32 14 0 17 Jun 2022
Learning to Accelerate Partial Differential Equations via Latent Global Evolution Tailin Wu Takashi Maruyama J. Leskovec AI4CE 28 28 0 15 Jun 2022
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator Tailin Wu Qinchen Wang Yinan Zhang Rex Ying Kaidi Cao Rok Sosivc Ridwan Jalali Hassan H. Hamam M. Maučec J. Leskovec PINN AI4CE 9 24 0 15 Jun 2022
Towards Autonomous Grading In The Real World Yakov Miron Chana Ross Yuval Goldfracht Chen Tessler Dotan Di Castro 30 2 0 13 Jun 2022
Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation Zixuan Huang Xingyu Lin David Held AI4CE 28 42 0 06 Jun 2022
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations Peter Yichen Chen Jinxu Xiang D. Cho Yue Chang G. Pershing H. Maia Maurizio M. Chiaramonte Kevin Carlberg E. Grinspun AI4CE 23 40 0 06 Jun 2022
Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer Maksim Zhdanov S. Steinmann Nico Hoffmann 11 11 0 04 Jun 2022
Learning to Solve PDE-constrained Inverse Problems with Graph Networks Qingqing Zhao David B. Lindell Gordon Wetzstein AI4CE 31 40 0 01 Jun 2022