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
Learning Lagrangian Fluid Mechanics with E( $3$ )-Equivariant Graph Neural Networks Artur P. Toshev Gianluca Galletti Johannes Brandstetter Stefan Adami Nikolaus A. Adams AI4CE 22 5 0 24 May 2023
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems Lingbing Guo Wei-Qun Wang Zhuo Chen Ningyu Zhang Zequn Sun Yixuan Lai Qiang Zhang Huajun Chen 14 5 0 24 May 2023
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics Koen Minartz Y. Poels Simon Koop Vlado Menkovski 22 5 0 23 May 2023
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs Guangsi Shi Daokun Zhang Ming Jin Shirui Pan Philip S. Yu AI4CE 24 4 0 21 May 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes Aran Nayebi R. Rajalingham M. Jazayeri G. R. Yang 28 17 0 19 May 2023
The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores Maciej Besta Robert Gerstenberger Marc Fischer Michal Podstawski Nils Blach ... Wojciech Chlapek M. Michalewicz H. Niewiadomski Juergen Mueller Torsten Hoefler 8 9 0 18 May 2023
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness Zeyuan Tan Xiulong Yuan Congjie He Man-Kit Sit Guo Li Xiaoze Liu Baole Ai Kai Zeng Peter R. Pietzuch Luo Mai GNN 15 15 0 18 May 2023
Towards Multi-Layered 3D Garments Animation Yidi Shao Chen Change Loy Bo Dai 3DH AI4CE 13 10 0 17 May 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 28 51 0 15 May 2023
Towards Understanding the Generalization of Graph Neural Networks Huayi Tang Y. Liu GNN AI4CE 32 29 0 14 May 2023
A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment Hanchen Xie Jiageng Zhu Mahyar Khayatkhoei Jiazhi Li Mohamed E. Hussein Wael AbdAlmgaeed 30 3 0 12 May 2023
Graph Neural Network-based surrogate model for granular flows Yongjin Choi Krishna Kumar AI4CE 21 23 0 09 May 2023
A Latent Diffusion Model for Protein Structure Generation Cong Fu Keqiang Yan Limei Wang Wing Yee Au Michael McThrow Tao Komikado Koji Maruhashi Kanji Uchino Xiaoning Qian Shuiwang Ji DiffM 13 31 0 06 May 2023
MPMNet: A Data-Driven MPM Framework for Dynamic Fluid-Solid Interaction Jin Li Yang Gao Ju Dai Shuai Li Aimin Hao Hong Qin PINN AI4CE 26 7 0 05 May 2023
In-situ Anomaly Detection in Additive Manufacturing with Graph Neural Networks S. Larsen P. Hooper AI4CE 6 0 0 04 May 2023
Importance of equivariant and invariant symmetries for fluid flow modeling Varun Shankar Shivam Barwey Zico Kolter R. Maulik V. Viswanathan AI4CE 22 4 0 03 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 25 6 0 02 May 2023
Learning Controllable Adaptive Simulation for Multi-resolution Physics Tailin Wu Takashi Maruyama Qingqing Zhao Gordon Wetzstein J. Leskovec PINN AI4CE 27 19 0 01 May 2023
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics Pingchuan Ma Peter Yichen Chen B. Deng J. Tenenbaum Tao Du Chuang Gan Wojciech Matusik PINN AI4CE 90 32 0 27 Apr 2023
Learning Neural PDE Solvers with Parameter-Guided Channel Attention M. Takamoto Francesco Alesiani Mathias Niepert 51 19 0 27 Apr 2023
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning Hao Dong Zhiyuan Ning Pengyang Wang Ziyue Qiao P. Wang Yuanchun Zhou Yanjie Fu 11 14 0 25 Apr 2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes Haotian Xue Antonio Torralba J. Tenenbaum Daniel L. K. Yamins Yunzhu Li H. Tung PINN VGen AI4CE 46 8 0 22 Apr 2023
Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes Alexander Sedykh Maninadh Podapaka Asel Sagingalieva Karan Pinto M. Pflitsch A. Melnikov AI4CE 24 30 0 21 Apr 2023
SURFSUP: Learning Fluid Simulation for Novel Surfaces Arjun Mani I. Chandratreya Elliot Creager Carl Vondrick R. Zemel AI4CE 6 2 0 13 Apr 2023
Robust Body Exposure (RoBE): A Graph-based Dynamics Modeling Approach to Manipulating Blankets over People Kavya Puthuveetil S. Wald Atharva Pusalkar Pratyusha Karnati Zackory M. Erickson 19 4 0 10 Apr 2023
Inferring Fluid Dynamics via Inverse Rendering Jinxian Liu Ye Chen Bingbing Ni Jiyao Mao Zhenbo Yu 3DH AI4CE 23 5 0 10 Apr 2023
Learning Robot Manipulation from Cross-Morphology Demonstration G. Salhotra Isabella Liu Gaurav Sukhatme LM&Ro 25 9 0 07 Apr 2023
ClothCombo: Modeling Inter-Cloth Interaction for Draping Multi-Layered Clothes Dohae Lee Hyun Kang In-Kwon Lee 3DH AI4CE 27 7 0 07 Apr 2023
Swarm Reinforcement Learning For Adaptive Mesh Refinement Niklas Freymuth Philipp Dahlinger Tobias Würth Simon Reisch Luise Kärger Gerhard Neumann 18 13 0 03 Apr 2023
E( $3$ ) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics Artur P. Toshev Gianluca Galletti Johannes Brandstetter Stefan Adami Nikolaus A. Adams 14 5 0 31 Mar 2023
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods Artur P. Toshev Ludger Paehler A. Panizza Nikolaus A. Adams AI4CE PINN 11 5 0 31 Mar 2023
Machine Learning for Partial Differential Equations Steven L. Brunton J. Nathan Kutz AI4CE 29 20 0 30 Mar 2023
GeoTMI:Predicting quantum chemical property with easy-to-obtain geometry via positional denoising Hyeonsu Kim Jeheon Woo Seonghwan Kim Seokhyun Moon Jun Hyeong Kim Woo Youn Kim AI4CE 24 6 0 28 Mar 2023
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets Isabella Huang Yashraj S. Narang R. Bajcsy Fabio Ramos Tucker Hermans D. Fox 20 10 0 28 Mar 2023
Invariant preservation in machine learned PDE solvers via error correction N. McGreivy Ammar Hakim AI4CE PINN 21 8 0 28 Mar 2023
GNN-based physics solver for time-independent PDEs R. J. Gladstone H. Rahmani V. Suryakumar Hadi Meidani M. DÉlia A. Zareei AI4CE 20 15 0 28 Mar 2023
Symbolic Music Structure Analysis with Graph Representations and Changepoint Detection Methods Carlos Hernandez-Olivan Sonia Rubio Llamas J. R. Beltrán 11 3 0 24 Mar 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library Le Yu Leilei Sun Bowen Du Weifeng Lv AI4CE 20 96 0 23 Mar 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning Chenxin Xu R. Tan Yuhong Tan Siheng Chen Yu Wang Xinchao Wang Yanfeng Wang 22 96 0 20 Mar 2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Yike Guo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 24 124 0 18 Mar 2023
Distill n' Explain: explaining graph neural networks using simple surrogates Tamara A. Pereira Erik Nasciment Lucas Resck Diego Mesquita Amauri Souza 22 15 0 17 Mar 2023
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural Networks Kaidi Cao Jiaxuan You Jiaju Liu J. Leskovec 57 4 0 14 Mar 2023
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks Luca Pegolotti Martin R. Pfaller Natalia L. Rubio Ke Ding Rita Brugarolas Brufau Eric F. Darve Alison L. Marsden AI4CE 46 31 0 13 Mar 2023
Graph Neural Network contextual embedding for Deep Learning on Tabular Data Mario Villaizán-Vallelado Matteo Salvatori B. Carro Antonio J. Sánchez-Esguevillas AI4CE LMTD 28 14 0 11 Mar 2023
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification Xuan Li Yi-Ling Qiao Peter Yichen Chen Krishna Murthy Jatavallabhula Ming Lin Chenfanfu Jiang Chuang Gan 77 73 0 09 Mar 2023
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation Zhou Xian Bo Zhu Zhenjia Xu H. Tung Antonio Torralba Katerina Fragkiadaki Chuang Gan 46 42 0 04 Mar 2023
A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail Jamie McGowan Elizabeth Guest Ziyang Yan Cong Zheng Neha Patel Mason Cusack C. Donaldson Sofie De Cnudde G. Facini Fabon Dzogang 6 0 0 27 Feb 2023
Elementwise Language Representation Du-Yeong Kim Jeeeun Kim 28 0 0 27 Feb 2023
Grounding Graph Network Simulators using Physical Sensor Observations Jonas Linkerhägner Niklas Freymuth Paul Maria Scheikl F. Mathis-Ullrich Gerhard Neumann AI4CE 22 11 0 23 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 17 2 0 17 Feb 2023