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
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction Qilong Ma Haixu Wu Lanxiang Xing Jianmin Wang Mingsheng Long AI4CE 24 0 0 04 Feb 2024
Transolver: A Fast Transformer Solver for PDEs on General Geometries Haixu Wu Huakun Luo Haowen Wang Jianmin Wang Mingsheng Long AI4CE 38 40 0 04 Feb 2024
Sim-to-Real of Soft Robots with Learned Residual Physics Junpeng Gao M. Michelis Andrew Spielberg Robert K. Katzschmann 32 5 0 02 Feb 2024
LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures Ayush Jain Ehsan Haghighat Sai Nelaturi AI4CE 13 4 0 01 Feb 2024
FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting Tao Han Song Guo Fenghua Ling Kang Chen Junchao Gong Jing-Jia Luo Junxia Gu Kan Dai Wanli Ouyang Lei Bai AI4Cl 13 12 0 28 Jan 2024
Implicit Neural Representation for Physics-driven Actuated Soft Bodies Lingchen Yang Byungsoo Kim Gaspard Zoss Baran Gözcü Markus Gross B. Solenthaler AI4CE 3DH 13 19 0 26 Jan 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 21 3 0 25 Jan 2024
Compositional Generative Inverse Design Tailin Wu Takashi Maruyama Long Wei Tao Zhang Yilun Du Gianluca Iaccarino J. Leskovec DiffM AI4CE 21 5 0 24 Jan 2024
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation Jiachen Li Chuanbo Hua Hengbo Ma Jinkyoo Park Victoria M. Dax Mykel J. Kochenderfer 28 9 0 22 Jan 2024
Scaling Face Interaction Graph Networks to Real World Scenes Tatiana López-Guevara Yulia Rubanova William F. Whitney Tobias Pfaff Kimberly L. Stachenfeld Kelsey R. Allen AI4CE GNN 3DH 10 2 0 22 Jan 2024
PartIR: Composing SPMD Partitioning Strategies for Machine Learning Sami Alabed Daniel Belov Bart Chrzaszcz Juliana Franco Dominik Grewe ... Michael Schaarschmidt Timur Sitdikov Agnieszka Swietlik Dimitrios Vytiniotis Joel Wee 26 3 0 20 Jan 2024
Equivariant Graph Neural Operator for Modeling 3D Dynamics Minkai Xu Jiaqi Han Aaron Lou Jean Kossaifi Arvind Ramanathan Kamyar Azizzadenesheli J. Leskovec Stefano Ermon A. Anandkumar AI4CE 24 16 0 19 Jan 2024
Inverse analysis of granular flows using differentiable graph neural network simulator Yongjin Choi Krishna Kumar AI4CE 11 6 0 17 Jan 2024
BENO: Boundary-embedded Neural Operators for Elliptic PDEs Haixin Wang Jiaxin Li Anubhav Dwivedi Kentaro Hara Tailin Wu 22 7 0 17 Jan 2024
Space and Time Continuous Physics Simulation From Partial Observations Steeven Janny Madiha Nadri Wolf Julie Digne Christian Wolf AI4CE 26 5 0 17 Jan 2024
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws Liu Yang Stanley J. Osher AI4CE 40 18 0 14 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 50 7 0 27 Dec 2023
Fluid Simulation on Neural Flow Maps Yitong Deng Hong-Xing Yu Diyang Zhang Jiajun Wu Bo Zhu AI4CE 11 21 0 22 Dec 2023
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer Youn-Yeol Yu Jeongwhan Choi Woojin Cho Kookjin Lee Nayong Kim ... Ilho Kim Seok-Woo Lee Joon Young Yang S. Yoon Noseong Park AI4CE 15 7 0 19 Dec 2023
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs Seungjun Lee Taeil Oh 21 5 0 18 Dec 2023
A Survey on Robotic Manipulation of Deformable Objects: Recent Advances, Open Challenges and New Frontiers Feida Gu Yanmin Zhou Zhipeng Wang Shuo Jiang Bin He AI4CE 16 8 0 16 Dec 2023
Graph Network Surrogate Model for Subsurface Flow Optimization Haoyu Tang L. Durlofsky 20 12 0 14 Dec 2023
Robo360: A 3D Omnispective Multi-Material Robotic Manipulation Dataset Litian Liang Liuyu Bian Caiwei Xiao Jialin Zhang Linghao Chen Isabella Liu Fanbo Xiang Zhiao Huang Hao Su 15 3 0 09 Dec 2023
Learning 3D Particle-based Simulators from RGB-D Videos William F. Whitney Tatiana López-Guevara Tobias Pfaff Yulia Rubanova Thomas Kipf Kimberly L. Stachenfeld Kelsey R. Allen VGen 27 11 0 08 Dec 2023
PerCNet: Periodic Complete Representation for Crystal Graphs Jiao Huang Qianli Xing Jinglong Ji Bo Yang 27 1 0 03 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 30 6 0 30 Nov 2023
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation Yuyang Wang Ahmed A. A. Elhag Navdeep Jaitly J. Susskind Miguel Angel Bautista DiffM 27 19 0 27 Nov 2023
Spatially Adaptive Cloth Regression with Implicit Neural Representations Lei Shu Vinicius Azevedo B. Solenthaler Markus Gross 3DH 11 0 0 27 Nov 2023
Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation Loh Sher En Jessica Naheed Anjum Arafat Wei Xian Lim Wai Lee Chan A. W. Kong AI4CE 22 2 0 24 Nov 2023
Differentiable Visual Computing for Inverse Problems and Machine Learning Andrew Spielberg Fangcheng Zhong Konstantinos Rematas Krishna Murthy Jatavallabhula Cengiz Öztireli Tzu-Mao Li Derek Nowrouzezahrai 32 7 0 21 Nov 2023
Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics Honghui Du QiZhi He AI4CE 31 4 0 21 Nov 2023
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting Juhyeon Kim Hyungeun Lee Seungwon Yu Ung Hwang Wooyeol Jung Miseon Park Kijung Yoon AI4TS 11 2 0 21 Nov 2023
Towards Robotic Tree Manipulation: Leveraging Graph Representations Chung Hee Kim Moonyoung Lee Oliver Kroemer George Kantor 15 3 0 13 Nov 2023
Three-dimensional granular flow simulation using graph neural network-based learned simulator Yongjin Choi Krishna Kumar AI4CE 17 0 0 13 Nov 2023
PGODE: Towards High-quality System Dynamics Modeling Xiao Luo Yiyang Gu Huiyu Jiang Hang Zhou Jinsheng Huang Wei Ju Zhiping Xiao Ming Zhang Yizhou Sun AI4CE 32 6 0 11 Nov 2023
Latent Task-Specific Graph Network Simulators Philipp Dahlinger Niklas Freymuth Michael Volpp Tai Hoang Gerhard Neumann AI4CE 14 0 0 09 Nov 2023
Multi-scale Time-stepping of Partial Differential Equations with Transformers AmirPouya Hemmasian A. Farimani AI4CE 42 13 0 03 Nov 2023
$Generating QM1B with PySCF$_{\text{IPU}}$$ Generating QM1B with PySCF $_{\text{IPU}}$ Alexander Mathiasen Hatem Helal Kerstin Klaser Paul Balanca Josef Dean Carlo Luschi Dominique Beaini Andrew Fitzgibbon Dominic Masters 18 1 0 02 Nov 2023
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations Hang Chen Keqing Du Chenguang Li Xinyu Yang 39 2 0 02 Nov 2023
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields Miltiadis Kofinas Erik J. Bekkers N. S. Nagaraja E. Gavves AI4CE 31 6 0 31 Oct 2023
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics Stefan Künzli Florian Grötschla Joël Mathys Roger Wattenhofer AI4CE 19 0 0 30 Oct 2023
Learning the dynamics of a one-dimensional plasma model with graph neural networks Diogo D Carvalho Diogo R Ferreira Luís O Silva AI4CE 19 0 0 26 Oct 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks Chuanbo Hua Federico Berto Michael Poli Stefano Massaroli Jinkyoo Park AI4TS AI4CE 19 2 0 25 Oct 2023
Graph Neural Networks with polynomial activations have limited expressivity Sammy Khalife 19 1 0 19 Oct 2023
Learning visual-based deformable object rearrangement with local graph neural networks Yuhong Deng Xueqian Wang Lipeng Chen 19 5 0 16 Oct 2023
Mirage: Model-Agnostic Graph Distillation for Graph Classification Mridul Gupta S. Manchanda H. Kodamana Sayan Ranu DD 18 14 0 14 Oct 2023
DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation Rong Wang Wei Mao Hongdong Li 3DH 25 6 0 11 Oct 2023
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems Zijie Huang Wanjia Zhao Jingdong Gao Ziniu Hu Xiao Luo Yadi Cao Yuanzhou Chen Yizhou Sun Wei Wang AI4CE 31 5 0 10 Oct 2023
Learning to Predict Structural Vibrations J. V. Delden Julius Schultz Christopher Blech Sabine C. Langer Timo Luddecke AI4CE 21 1 0 09 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 18 9 0 08 Oct 2023