Graph networks as learnable physics engines for inference and control

4 June 2018

Alvaro Sanchez-Gonzalez

N. Heess

Jost Tobias Springenberg

Martin Riedmiller

Papers citing "Graph networks as learnable physics engines for inference and control"

50 / 327 papers shown

Title
AutoGEL: An Automated Graph Neural Network with Explicit Link Information Zhiling Wang Shimin Di Lei Chen GNN AI4CE 14 39 0 02 Dec 2021
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift Kehang Han Balaji Lakshminarayanan J. Liu OOD GNN 17 33 0 25 Nov 2021
Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow Simulation A. Haeri K. Skonieczny AI4CE 19 2 0 18 Nov 2021
Full-Body Visual Self-Modeling of Robot Morphologies Boyuan Chen Robert Kwiatkowski Carl Vondrick Hod Lipson 20 11 0 11 Nov 2021
Climate Modeling with Neural Diffusion Equations JeeHyun Hwang Jeongwhan Choi Hwan-Kyu Choi Kookjin Lee Dongeun Lee Noseong Park DiffM 19 22 0 11 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 28 93 0 02 Nov 2021
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction Letian Wang Yeping Hu Liting Sun Wei Zhan M. Tomizuka Changliu Liu 8 16 0 01 Nov 2021
HR-RCNN: Hierarchical Relational Reasoning for Object Detection Hao Chen Abhinav Shrivastava 17 1 0 26 Oct 2021
A Differentiable Newton-Euler Algorithm for Real-World Robotics M. Lutter Vallijah Subasri Joe Watson Frank Rudzicz 22 7 0 24 Oct 2021
Learning Cloth Folding Tasks with Refined Flow Based Spatio-Temporal Graphs Peng Zhou Omar Zahra Anqing Duan Shengzeng Huo Zeyu Wu D. Navarro-Alarcon 18 4 0 16 Oct 2021
Learning ground states of quantum Hamiltonians with graph networks Dmitrii Kochkov Tobias Pfaff Alvaro Sanchez-Gonzalez Peter W. Battaglia B. Clark 39 26 0 12 Oct 2021
Hybrid Graph Embedding Techniques in Estimated Time of Arrival Task Vadim Porvatov Natalia Semenova A. Chertok GNN AI4TS 14 3 0 08 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 31 39 0 05 Oct 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
Learning Transport Processes with Machine Intelligence F. Miniati G. Gregori AI4CE 11 3 0 27 Sep 2021
Search For Deep Graph Neural Networks Guosheng Feng Chunnan Wang Hongzhi Wang GNN 29 23 0 21 Sep 2021
Efficient Differentiable Simulation of Articulated Bodies Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin AI4CE 32 54 0 16 Sep 2021
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems Jiayang Xu Aniruddhe Pradhan Karthikeyan Duraisamy AI4CE 29 28 0 15 Sep 2021
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph Nuttapong Chairatanakul Noppayut Sriwatanasakdi Nontawat Charoenphakdee Xin Liu T. Murata 16 4 0 09 Sep 2021
PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery Yasmin Salehi D. Giannacopoulos AI4CE 10 27 0 09 Sep 2021
Computing Steiner Trees using Graph Neural Networks Abu Reyan Ahmed Md Asadullah Turja F. Sahneh Mithun Ghosh Keaton Hamm Stephen Kobourov 3DPC GNN 20 6 0 18 Aug 2021
An Extensible Benchmark Suite for Learning to Simulate Physical Systems Karl Otness Arvi Gjoka Joan Bruna Daniele Panozzo Benjamin Peherstorfer T. Schneider Denis Zorin 19 23 0 09 Aug 2021
Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification Yu-Chiang Frank Wang Yuesong Shen Daniel Cremers 11 5 0 27 Jul 2021
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems Shaan Desai M. Mattheakis David Sondak P. Protopapas Stephen J. Roberts AI4CE 25 43 0 16 Jul 2021
Classifying Component Function in Product Assemblies with Graph Neural Networks Vincenzo Ferrero Kaveh Hassani Daniele Grandi Bryony DuPont 15 6 0 08 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 39 64 0 02 Jul 2021
Active Learning of Abstract Plan Feasibility Michael Noseworthy Caris Moses Isa Brand Sebastian Castro L. Kaelbling Tomás Lozano-Pérez Nicholas Roy 23 22 0 01 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 52 94 0 01 Jul 2021
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction Jiahua Rao Shuangjia Zheng Yuedong Yang 21 46 0 01 Jul 2021
Evolving-Graph Gaussian Processes David Blanco Mulero Markus Heinonen Ville Kyrki 17 0 0 29 Jun 2021
Continuous-Depth Neural Models for Dynamic Graph Prediction Michael Poli Stefano Massaroli Clayton M. Rabideau Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 9 8 0 22 Jun 2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines Daniel M. Bear E. Wang Damian Mrowca Felix Binder Hsiau-Yu Fish Tung ... Li Fei-Fei Nancy Kanwisher J. Tenenbaum Daniel L. K. Yamins Judith E. Fan OOD 55 86 0 15 Jun 2021
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond Jonathan Godwin Michael Schaarschmidt Alex Gaunt Alvaro Sanchez-Gonzalez Yulia Rubanova Petar Velivcković J. Kirkpatrick Peter W. Battaglia 33 60 0 15 Jun 2021
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks Mario Lino C. Cantwell Anil A. Bharath Stathi Fotiadis AI4CE 29 48 0 09 Jun 2021
Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism Mingyi Liu Zhiying Tu Xiaofei Xu Zhongjie Wang GNN DiffM 13 1 0 03 Jun 2021
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning Junyoung Park J. Chun Sang Hun Kim Youngkook Kim Jinkyoo Park GNN 9 204 0 02 Jun 2021
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution Boyan Xu Hujun Yin GNN 35 9 0 21 May 2021
Learning Modular Robot Control Policies Julian Whitman Matthew Travers Howie Choset 14 44 0 20 May 2021
Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare Zehao Dong Heming Zhang Yixin Chen Fuhai Li 11 8 0 14 May 2021
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty Fanfei Chen Paul Szenher Yewei Huang Jinkun Wang Tixiao Shan Shi Bai Brendan Englot 25 12 0 11 May 2021
HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks Ziyao Li Shuwen Yang Guojie Song Lingsheng Cai 8 21 0 08 May 2021
Model discovery in the sparse sampling regime G. Both Georges Tod R. Kusters 31 3 0 02 May 2021
Convolutions for Spatial Interaction Modeling Zhaoen Su Chao Wang David Bradley Carlos Vallespi-Gonzalez Carl K. Wellington Nemanja Djuric AI4CE 20 4 0 15 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems Philippe Hansen-Estruch Wenling Shang Lerrel Pinto Pieter Abbeel Stas Tiomkin AI4CE 25 2 0 07 Apr 2021
General Robot Dynamics Learning and Gen2Real Dengpeng Xing Jiale Li Yiming Yang Bo Xu DRL AI4CE 16 3 0 06 Apr 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Zhou Xian Shamit Lal H. Tung Emmanouil Antonios Platanios Katerina Fragkiadaki AI4CE 30 23 0 17 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 35 108 0 08 Mar 2021
A Deep Emulator for Secondary Motion of 3D Characters Mianlun Zheng Yi Zhou Duygu Ceylan J. Barbič 3DH 17 25 0 01 Mar 2021
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing Charlie Blake Vitaly Kurin Maximilian Igl Shimon Whiteson AI4CE 10 13 0 01 Mar 2021
Task-Agnostic Morphology Evolution D. Hejna Pieter Abbeel Lerrel Pinto 22 26 0 25 Feb 2021