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Interaction Networks for Learning about Objects, Relations and Physics

Interaction Networks for Learning about Objects, Relations and Physics

1 December 2016
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
    AI4CE
    OCL
    PINN
    GNN
ArXivPDFHTML

Papers citing "Interaction Networks for Learning about Objects, Relations and Physics"

50 / 210 papers shown
Title
Heterogeneous graph neural networks for species distribution modeling
Heterogeneous graph neural networks for species distribution modeling
Lauren Harrell
Christine Kaeser-Chen
Burcu Karagol Ayan
Keith Anderson
Michelangelo Conserva
Elise Kleeman
Maxim Neumann
Matt Overlan
Melissa Chapman
Drew Purves
49
0
0
14 Mar 2025
CueTip: An Interactive and Explainable Physics-aware Pool Assistant
CueTip: An Interactive and Explainable Physics-aware Pool Assistant
Sean Memery
Kevin Denamganai
Jiaxin Zhang
Zehai Tu
Yiwen Guo
Kartic Subr
LRM
39
0
0
30 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs
Optimality of Message-Passing Architectures for Sparse Graphs
Aseem Baranwal
K. Fountoulakis
Aukosh Jagannath
75
11
0
10 Jan 2025
InterDyn: Controllable Interactive Dynamics with Video Diffusion Models
InterDyn: Controllable Interactive Dynamics with Video Diffusion Models
Rick Akkerman
Haiwen Feng
M. Black
Dimitrios Tzionas
Victoria Fernandez-Abrevaya
VGen
AI4CE
102
3
0
16 Dec 2024
BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics
Keyi Shen
Jiangwei Yu
Huan Zhang
Yunzhu Li
Yunzhu Li
81
1
0
12 Dec 2024
Object-centric proto-symbolic behavioural reasoning from pixels
Object-centric proto-symbolic behavioural reasoning from pixels
R. S. V. Bergen
Justus F. Hübotter
Pablo Lanillos
LM&Ro
OCL
87
0
0
26 Nov 2024
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Kai Wang
Siqiang Luo
Caihua Shan
Yifei Shen
32
1
0
16 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
S. H. Lim
Yijin Wang
Annan Yu
Emma Hart
Michael W. Mahoney
Xiaoye S. Li
N. Benjamin Erichson
AI4TS
44
1
0
04 Oct 2024
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation
Anthony Y. Zhou
Zijie Li
Michael Schneier
John R Buchanan Jr
Amir Barati Farimani
AI4CE
DiffM
52
5
0
02 Oct 2024
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
Alejandro Castañeda Garcia
J. C. V. Gemert
Daan Brinks
Nergis Tömen
33
0
0
02 Oct 2024
Benchmarking Reliability of Deep Learning Models for Pathological Gait
  Classification
Benchmarking Reliability of Deep Learning Models for Pathological Gait Classification
Abhishek Jaiswal
Nisheeth Srivastava
21
0
0
20 Sep 2024
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics
Yixuan Huang
Christopher Agia
Jimmy Wu
Tucker Hermans
Jeannette Bohg
3DPC
46
1
0
27 Aug 2024
Learning System Dynamics without Forgetting
Learning System Dynamics without Forgetting
Xikun Zhang
Dongjin Song
Yushan Jiang
Yixin Chen
Dacheng Tao
AI4CE
37
2
0
30 Jun 2024
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for
  Physical Dynamics Learning
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
Zinan Zheng
Yang Liu
Jia Li
Jianhua Yao
Yu Rong
AI4CE
43
1
0
24 Jun 2024
Learning Coarse-Grained Dynamics on Graph
Learning Coarse-Grained Dynamics on Graph
Yin Yu
J. Harlim
Daning Huang
Yan Li
33
1
0
15 May 2024
Reasoning-Enhanced Object-Centric Learning for Videos
Reasoning-Enhanced Object-Centric Learning for Videos
Jian Li
Pu Ren
Yang Liu
Hao-Lun Sun
OCL
LRM
40
2
0
22 Mar 2024
Contextualized Messages Boost Graph Representations
Contextualized Messages Boost Graph Representations
Brian Godwin Lim
Galvin Brice Lim
Renzo Roel Tan
Kazushi Ikeda
AI4CE
64
1
0
19 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
Jiaqi Han
Jiacheng Cen
Liming Wu
Zongzhao Li
Xiangzhe Kong
...
Zhewei Wei
Deli Zhao
Yu Rong
Wenbing Huang
Wenbing Huang
AI4CE
34
20
0
01 Mar 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
Benedikt Alkin
Andreas Fürst
Simon Schmid
Lukas Gruber
Markus Holzleitner
Johannes Brandstetter
PINN
AI4CE
40
8
0
19 Feb 2024
Equivariant Graph Neural Operator for Modeling 3D Dynamics
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
Automated interpretation of congenital heart disease from multi-view
  echocardiograms
Automated interpretation of congenital heart disease from multi-view echocardiograms
Jing Wang
Xiaofeng Liu
Fangyun Wang
Lin Zheng
F. Gao
Hanwen Zhang
Xin Zhang
Wanqing Xie
Bin-bin Wang
26
55
0
30 Nov 2023
Inferring Relational Potentials in Interacting Systems
Inferring Relational Potentials in Interacting Systems
Armand Comas Massagu´e
Yilun Du
Christian Fernández
S. Ghimire
M. Sznaier
J. Tenenbaum
Octavia Camps
21
4
0
23 Oct 2023
Using Learnable Physics for Real-Time Exercise Form Recommendations
Using Learnable Physics for Real-Time Exercise Form Recommendations
Abhishek Jaiswal
Gautam Chauhan
Nisheeth Srivastava
8
1
0
11 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet
Erica Weng
Tomás Lozano Pérez
L. Kaelbling
47
55
0
10 Oct 2023
Learning to Predict Structural Vibrations
Learning to Predict Structural Vibrations
J. V. Delden
Julius Schultz
Christopher Blech
Sabine C. Langer
Timo Luddecke
AI4CE
23
1
0
09 Oct 2023
Learning Reliable Logical Rules with SATNet
Learning Reliable Logical Rules with SATNet
Zhaoyu Li
Jinpei Guo
Yuhe Jiang
Xujie Si
LRM
NAI
25
2
0
03 Oct 2023
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Stefania Costantini
Gianluca Galletti
Fabian Fritz
Stefan Adami
Nikolaus A. Adams
38
13
0
28 Sep 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
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
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
40
19
0
16 Aug 2023
Deep Learning-based surrogate models for parametrized PDEs: handling
  geometric variability through graph neural networks
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
21
16
0
03 Aug 2023
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and
  Planning?
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
23
1
0
17 Jul 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better
  and Simpler Choice towards Powerful Attention
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
Hongjun Wang
Jiyuan Chen
Lun Du
Qiang Fu
Shi Han
Xuan Song
CML
GNN
20
4
0
22 May 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent
  Representations on Dynamic Scenes
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
Domain Generalization Deep Graph Transformation
Domain Generalization Deep Graph Transformation
Shiyu Wang
Guangji Bai
Qi Zhu
Zhaohui Qin
Liang Zhao
OOD
41
1
0
19 May 2023
Informed Machine Learning, Centrality, CNN, Relevant Document Detection,
  Repatriation of Indigenous Human Remains
Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains
M. A. Bashar
R. Nayak
G. Knapman
Paul Turnbull
C. Fforde
23
1
0
25 Mar 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant
  Interaction Reasoning
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
Chenxin Xu
R. Tan
Yuhong Tan
Siheng Chen
Yu Wang
Xinchao Wang
Yanfeng Wang
24
96
0
20 Mar 2023
Neural Partial Differential Equations with Functional Convolution
Neural Partial Differential Equations with Functional Convolution
Z. Wu
Xingzhe He
Yijun Li
Cheng Yang
Rui Liu
S. Xiong
Bo Zhu
21
1
0
10 Mar 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural
  Networks
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks
Qiyu Kang
Kai Zhao
Yang Song
Sijie Wang
Rui She
Wee Peng Tay
30
0
0
02 Mar 2023
Object Reconfiguration with Simulation-Derived Feasible Actions
Object Reconfiguration with Simulation-Derived Feasible Actions
Yiyuan Lee
Wil Thomason
Zachary K. Kingston
Lydia E. Kavraki
AI4CE
8
3
0
27 Feb 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation
Graph-based Knowledge Distillation: A survey and experimental evaluation
Jing Liu
Tongya Zheng
Guanzheng Zhang
Qinfen Hao
24
8
0
27 Feb 2023
Reusable Slotwise Mechanisms
Reusable Slotwise Mechanisms
Trang Nguyen
Amin Mansouri
Kanika Madan
Khuong N. Nguyen
Kartik Ahuja
Dianbo Liu
Yoshua Bengio
OCL
20
4
0
21 Feb 2023
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge
  Graphs
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
Xingyue Huang
Miguel Romero
.Ismail .Ilkan Ceylan
Pablo Barceló
24
24
0
04 Feb 2023
Predicting Molecule-Target Interaction by Learning Biomedical Network
  and Molecule Representations
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations
Jinjiang Guo
Jie Li
18
0
0
02 Feb 2023
Learning Vortex Dynamics for Fluid Inference and Prediction
Learning Vortex Dynamics for Fluid Inference and Prediction
Yitong Deng
Hong-Xing Yu
Jiajun Wu
Bo Zhu
MDE
24
19
0
27 Jan 2023
Everything is Connected: Graph Neural Networks
Everything is Connected: Graph Neural Networks
Petar Velickovic
GNN
AI4CE
20
179
0
19 Jan 2023
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
Vardaan Pahuja
Boshi Wang
Hugo Latapie
Jayanth Srinivasa
Yu-Chuan Su
17
13
0
19 Dec 2022
A General Purpose Supervisory Signal for Embodied Agents
A General Purpose Supervisory Signal for Embodied Agents
Kunal Pratap Singh
Jordi Salvador
Luca Weihs
Aniruddha Kembhavi
SSL
21
3
0
01 Dec 2022
Knowledge-augmented Deep Learning and Its Applications: A Survey
Knowledge-augmented Deep Learning and Its Applications: A Survey
Zijun Cui
Tian Gao
Kartik Talamadupula
Qiang Ji
17
17
0
30 Nov 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci
  Curvature
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
K. Nguyen
Hieu Nong
T. Nguyen
Nhat Ho
Khuong N. Nguyen
Vinh Phu Nguyen
21
61
0
28 Nov 2022
Beyond 1-WL with Local Ego-Network Encodings
Beyond 1-WL with Local Ego-Network Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
25
5
0
27 Nov 2022
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