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
Simplifying Graph Transformers Liheng Ma Soumyasundar Pal Yingxue Zhang Philip H. S. Torr Mark J. Coates 26 0 0 17 Apr 2025
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids Dhruv Suri Mohak Mangal AI4TS 37 0 0 26 Mar 2025
Self-Modeling Robots by Photographing Kejun Hu Peng Yu Ning Tan 36 0 0 07 Mar 2025
Data-Driven Radio Propagation Modeling using Graph Neural Networks Adrien Bufort Laurent Lebocq Stefan Cathabard GNN 43 3 0 08 Jan 2025
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction João Mattos Zexi Huang Mert Kosan Ambuj Singh A. Silva 69 1 0 29 Nov 2024
Physics Encoded Blocks in Residual Neural Network Architectures for Digital Twin Models Muhammad Saad Zia Ashiq Anjum Lu Liu Anthony Conway Anasol Pena Rios PINN AI4CE 67 0 0 18 Nov 2024
Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction Mykhaylo Andriluka Baruch Tabanpour C. Freeman C. Sminchisescu 3DH 30 1 0 15 Oct 2024
Discovering Message Passing Hierarchies for Mesh-Based Physics Simulation Huayu Deng Xiangming Zhu Yunbo Wang Xiaokang Yang PINN AI4CE 29 0 0 03 Oct 2024
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation Shaowei Liu Zhongzheng Ren Saurabh Gupta Shenlong Wang VGen DiffM PINN 42 33 0 27 Sep 2024
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation Wenlong Huang Chen Wang Y. Li Ruohan Zhang Li Fei-Fei 44 87 0 03 Sep 2024
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics Yixuan Huang Christopher Agia Jimmy Wu Tucker Hermans Jeannette Bohg 3DPC 49 1 0 27 Aug 2024
Dilated convolution neural operator for multiscale partial differential equations Bo Xu Xinliang Liu Lei Zhang AI4CE 34 3 0 16 Jul 2024
A review of graph neural network applications in mechanics-related domains Yingxue Zhao Haoran Li Haosu Zhou H. Attar Tobias Pfaff Nan Li AI4CE 29 5 0 10 Jul 2024
Learning Physical Simulation with Message Passing Transformer Zeyi Xu Yifei Li AI4CE 35 1 0 10 Jun 2024
Graph Mining under Data scarcity Appan Rakaraddi Lam Siew-Kei Mahardhika Pratama Marcus Vinícius de Carvalho BDL 34 0 0 07 Jun 2024
A Comparative Study of Garment Draping Techniques Prerana Achar Mayank Patel Anushka Mulik Neha Katre Stevina Dias Chirag Raman AI4CE 3DH 62 1 0 17 May 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels Dan Haramati Tal Daniel Aviv Tamar LM&Ro OffRL OCL 34 10 0 01 Apr 2024
Leveraging Simulation-Based Model Preconditions for Fast Action Parameter Optimization with Multiple Models M. Seker Oliver Kroemer AI4CE 19 0 0 17 Mar 2024
Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting L. Chen Kush Hari K. Dharmarajan Chenfeng Xu Quan Vuong Ken Goldberg 44 20 0 29 Feb 2024
CafkNet: GNN-Empowered Forward Kinematic Modeling for Cable-Driven Parallel Robots Zeqing Zhang Linhan Yang Cong Sun Weiwei Shang Jia Pan 36 2 0 28 Feb 2024
Hybrid $^2$ Neural ODE Causal Modeling and an Application to Glycemic Response Bob Junyi Zou Matthew E. Levine D. Zaharieva Ramesh Johari Emily Fox 33 4 0 27 Feb 2024
Multi-Level GNN Preconditioner for Solving Large Scale Problems Matthieu Nastorg J. Gratien T. Faney M. Bucci Guillaume Charpiat Marc Schoenauer AI4CE 19 1 0 13 Feb 2024
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations Andrey Bryutkin Jiahao Huang Zhongying Deng Guang Yang Carola-Bibiane Schönlieb Angelica E. Avilés-Rivero 38 6 0 05 Feb 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 28 3 0 25 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 15 2 0 22 Jan 2024
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control T. Duong Abdullah Altawaitan Jason Stanley Nikolay A. Atanasov 23 10 0 17 Jan 2024
POE: Acoustic Soft Robotic Proprioception for Omnidirectional End-effectors Uksang Yoo Ziven Lopez Jeffrey Ichnowski Jean Oh 30 5 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
Slot Structured World Models Jonathan Collu Riccardo Majellaro Aske Plaat Thomas M. Moerland OCL 20 1 0 08 Jan 2024
Model-Based Control with Sparse Neural Dynamics Ziang Liu Genggeng Zhou Jeff He Tobia Marcucci Fei-Fei Li Jiajun Wu Yunzhu Li AI4CE 35 17 0 20 Dec 2023
Counterfactual World Modeling for Physical Dynamics Understanding Rahul Venkatesh Honglin Chen Kevin T. Feigelis Daniel M. Bear Khaled Jedoui ... Wanhee Lee Sherry Liu Kevin A. Smith Judith E. Fan Daniel L. K. Yamins VGen 40 1 0 11 Dec 2023
OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection Haoyu Jiang Haiyang Yu Nan Li Ping Yi 25 0 0 04 Dec 2023
CSGNN: Conquering Noisy Node labels via Dynamic Class-wise Selection Yifan Li Zhen Tan Kai Shu Zongsheng Cao Yu Kong Huan Liu 24 1 0 20 Nov 2023
Towards Robotic Tree Manipulation: Leveraging Graph Representations Chung Hee Kim Moonyoung Lee Oliver Kroemer George Kantor 21 3 0 13 Nov 2023
Graph GOSPA metric: a metric to measure the discrepancy between graphs of different sizes Jinhao Gu Á. F. García-Fernández Robert E. Firth Lennart Svensson 17 0 0 10 Nov 2023
Interpretable Neural PDE Solvers using Symbolic Frameworks Yolanne Yi Ran Lee AI4CE 32 0 0 31 Oct 2023
Gradient-free online learning of subgrid-scale dynamics with neural emulators Hugo Frezat Ronan Fablet G. Balarac Julien Le Sommer 19 4 0 30 Oct 2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies Michael Beukman Devon Jarvis Richard Klein Steven D. James Benjamin Rosman 24 10 0 25 Oct 2023
Estimating Material Properties of Interacting Objects Using Sum-GP-UCB M. Seker Oliver Kroemer 11 2 0 18 Oct 2023
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Open X-Embodiment Collaboration Abby OÑeill Abdul Rehman Abhinav Gupta Abhiram Maddukuri ... Zhuo Xu Zichen Jeff Cui Zichen Zhang Zipeng Fu Zipeng Lin LM&Ro 42 459 0 13 Oct 2023
RoboHive: A Unified Framework for Robot Learning Vikash Kumar Rutav Shah Gaoyue Zhou Vincent Moens Vittorio Caggiano Jay Vakil Abhishek Gupta Aravind Rajeswaran 20 22 0 10 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 20 9 0 08 Oct 2023
SlotGNN: Unsupervised Discovery of Multi-Object Representations and Visual Dynamics Alireza Rezazadeh Athreyi Badithela Karthik Desingh Changhyun Choi 24 2 0 06 Oct 2023
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks Haonan Chen Yilong Niu Kaiwen Hong Shuijing Liu Yixuan Wang Yunzhu Li Katherine Driggs-Campbell 33 13 0 28 Sep 2023
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite Stefania Costantini Gianluca Galletti Fabian Fritz Stefan Adami Nikolaus A. Adams 40 13 0 28 Sep 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 40 0 0 27 Sep 2023
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems C. Banerjee Kien Nguyen Clinton Fookes M. Raissi PINN AI4CE 16 9 0 05 Sep 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 24 9 0 08 Aug 2023
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? Linfeng Zhao Owen Howell Jung Yeon Park Xu Zhu Robin G. Walters Lawson L. S. Wong 33 1 0 17 Jul 2023
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks Elena Tiukhova Emiliano Penaloza María Óskarsdóttir Bart Baesens M. Snoeck Cristián Bravo 27 2 0 16 Jul 2023