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
SlotGNN: Unsupervised Discovery of Multi-Object Representations and Visual Dynamics Alireza Rezazadeh Athreyi Badithela Karthik Desingh Changhyun Choi 24 1 0 06 Oct 2023
Graph learning in robotics: a survey Francesca Pistilli Giuseppe Averta AI4CE GNN 21 7 0 06 Oct 2023
EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations Vaibhav Bihani Utkarsh Pratiush Sajid Mannan Tao Du Zhimin Chen Santiago Miret Matthieu Micoulaut M. Smedskjaer Sayan Ranu N. M. A. Krishnan 24 19 0 03 Oct 2023
Backdiff: a diffusion model for generalized transferable protein backmapping Yikai Liu Ming Chen Guang Lin DiffM 22 2 0 03 Oct 2023
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite Stefania Costantini Gianluca Galletti Fabian Fritz Stefan Adami Nikolaus A. Adams 38 13 0 28 Sep 2023
Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos Rama Krishna Kandukuri Michael Strecke Joerg Stueckler 19 2 0 27 Sep 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 35 0 0 27 Sep 2023
Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks Xibai Lou Houjian Yu Ross Worobel Yang Yang Changhyun Choi 19 3 0 27 Sep 2023
Learning dislocation dynamics mobility laws from large-scale MD simulations N. Bertin Vasily V. Bulatov Fei Zhou AI4CE 20 8 0 25 Sep 2023
Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems Krishna Kumar Yonjin Choi AI4CE 16 6 0 23 Sep 2023
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation S. K. Mukkavilli Daniel Salles Civitarese J. Schmude Johannes Jakubik Anne Jones ... R. Ganti Hendrik Hamann U. Nair Rahul Ramachandran Kommy Weldemariam AI4Cl AI4CE 30 18 0 19 Sep 2023
Graph Neural Networks for Dynamic Modeling of Roller Bearing Vinay Sharma Jens Ravesloot C. Taal Olga Fink AI4CE 23 0 0 19 Sep 2023
Learning graph geometry and topology using dynamical systems based message-passing Dhananjay Bhaskar Yanlei Zhang Charles Xu Xingzhi Sun O. Fasina Guy Wolf Maximilian Nickel Michael Perlmutter Smita Krishnaswamy AI4CE 28 2 0 18 Sep 2023
Diffusion Generative Inverse Design Marin Vlastelica Tatiana López-Guevara Kelsey R. Allen Peter Battaglia Arnaud Doucet Kimberley L. Stachenfeld DiffM 21 1 0 05 Sep 2023
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation Georg Kohl Li-Wei Chen Nils Thuerey AI4CE DiffM 34 22 0 04 Sep 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs Zong-Yi Li Nikola B. Kovachki Chris Choy Boyi Li Jean Kossaifi ... M. A. Nabian Maximilian Stadler Christian Hundt Kamyar Azizzadenesheli Anima Anandkumar AI4CE 23 127 0 01 Sep 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 25 0 0 30 Aug 2023
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases Yang Liu Jiashun Cheng Haihong Zhao Tingyang Xu P. Zhao Fugee Tsung Jia Li Yu Rong AI4CE 30 18 0 25 Aug 2023
Learning Only On Boundaries: a Physics-Informed Neural operator for Solving Parametric Partial Differential Equations in Complex Geometries Z. Fang Sifan Wang P. Perdikaris AI4CE 17 11 0 24 Aug 2023
Interactive High-Resolution Simulation of Granular Material Alexander Sommer Ulrich Schwanecke E. Schoemer 11 1 0 03 Aug 2023
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks N. R. Franco S. Fresca Filippo Tombari Andrea Manzoni AI4CE 19 16 0 03 Aug 2023
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning Sheikh Md Shakeel Hassan Arthur Feeney A. Dhruv Jih-Woon Kim Youngjoon Suh Jaiyoung Ryu Y. Won Aparna Chandramowlishwaran AI4CE 8 10 0 27 Jul 2023
Towards Long-Term predictions of Turbulence using Neural Operators Fernando González Franccois-Xavier Demoulin Simon Bernard AI4CE 17 0 0 25 Jul 2023
InVAErt networks: a data-driven framework for model synthesis and identifiability analysis Guoxiang Grayson Tong Carlos A. Sing Long Daniele E. Schiavazzi 23 7 0 24 Jul 2023
Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations Shamil Mamedov A. R. Geist Jan Swevers Sebastian Trimpe AI4CE 11 2 0 16 Jul 2023
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks S. Bishnoi Ravinder Bhattoo J. Jayadeva Sayan Ranu N. M. A. Krishnan PINN AI4CE 26 1 0 11 Jul 2023
On the power of graph neural networks and the role of the activation function Sammy Khalife A. Basu 16 7 0 10 Jul 2023
Graph Convolutional Networks for Simulating Multi-phase Flow and Transport in Porous Media Jiamin Jiang B. Guo GNN AI4CE 19 0 0 10 Jul 2023
Generalizing Graph ODE for Learning Complex System Dynamics across Environments Zijie Huang Yizhou Sun Wei Wang CML OOD AI4CE 27 24 0 10 Jul 2023
Dynamic-Resolution Model Learning for Object Pile Manipulation Yixuan Wang Yunzhu Li Katherine Driggs-Campbell Li Fei-Fei Jiajun Wu 32 18 0 29 Jun 2023
Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects Alireza Rezazadeh Snehal Dikhale Soshi Iba Nawid Jamali 9 7 0 28 Jun 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Yizhou Sun GNN AI4CE 29 22 0 24 Jun 2023
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations Yidong Liao Brandon M. Wood Abhishek Das Tess E. Smidt 19 130 0 21 Jun 2023
Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics S. Bishnoi J. Jayadeva Sayan Ranu N. M. A. Krishnan 22 3 0 20 Jun 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 22 12 0 20 Jun 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu Wen-Long Zhao Chenxiao Yang Hengrui Zhang Fan Nie Haitian Jiang Yatao Bian Junchi Yan AI4CE 35 75 0 19 Jun 2023
Learning CO $_2$ plume migration in faulted reservoirs with Graph Neural Networks X. Ju Franccois P. Hamon Gege Wen Rayan Kanfar Mauricio Araya-Polo H. Tchelepi AI4CE 16 1 0 16 Jun 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 22 208 0 14 Jun 2023
A Simple and Scalable Graph Neural Network for Large Directed Graphs Seiji Maekawa Yuya Sasaki Makoto Onizuka GNN 19 0 0 14 Jun 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio' GNN 32 7 0 06 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 11 30 0 04 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 26 55 0 03 Jun 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations Anudhyan Boral Z. Y. Wan Leonardo Zepeda-Núnez James Lottes Qing Wang Yi-fan Chen John R. Anderson Fei Sha AI4CE PINN 16 11 0 01 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization Shurui Gui Meng Liu Xiner Li Youzhi Luo Shuiwang Ji CML OOD 21 23 0 01 Jun 2023
Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains Levi E. Lingsch M. Michelis Emmanuel de Bezenac Sirani M. Perera Robert K. Katzschmann Siddartha Mishra 24 7 0 31 May 2023
Group Invariant Global Pooling Kamil Bujel Yonatan Gideoni Chaitanya K. Joshi Pietro Lio' 34 0 0 30 May 2023
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data Songming Liu Zhongkai Hao Chengyang Ying Hang Su Ze Cheng Jun Zhu AI4CE 19 9 0 30 May 2023
Graph Rewriting for Graph Neural Networks Adam M. Machowczyk R. Heckel 11 3 0 29 May 2023
Scalable Transformer for PDE Surrogate Modeling Zijie Li Dule Shu A. Farimani 24 63 0 27 May 2023
Size Generalization of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective Gao Li Danai Koutra Yujun Yan 21 1 0 24 May 2023