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Relational inductive biases, deep learning, and graph networks
v1v2v3 (latest)

Relational inductive biases, deep learning, and graph networks

4 June 2018
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
Mateusz Malinowski
Andrea Tacchetti
David Raposo
Adam Santoro
Ryan Faulkner
Çağlar Gülçehre
H. F. Song
A. J. Ballard
Justin Gilmer
George E. Dahl
Ashish Vaswani
Kelsey R. Allen
C. Nash
Victoria Langston
Chris Dyer
N. Heess
Daan Wierstra
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
    AI4CENAI
ArXiv (abs)PDFHTML

Papers citing "Relational inductive biases, deep learning, and graph networks"

50 / 1,598 papers shown
Title
A Comprehensive Survey on Distributed Training of Graph Neural Networks
A Comprehensive Survey on Distributed Training of Graph Neural Networks
Haiyang Lin
Yurui Lai
Xiaochun Ye
Xiaochun Ye
Shirui Pan
Wenguang Chen
Yuan Xie
GNN
115
27
0
10 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph
  classification
Application of Graph Neural Networks and graph descriptors for graph classification
J. Adamczyk
FaML
88
5
0
07 Nov 2022
Characterizing the Efficiency of Graph Neural Network Frameworks with a
  Magnifying Glass
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass
Xin Huang
Jongryool Kim
Brad Rees
Chul-Ho Lee
GNN
42
4
0
06 Nov 2022
1-D Convolutional Graph Convolutional Networks for Fault Detection in
  Distributed Energy Systems
1-D Convolutional Graph Convolutional Networks for Fault Detection in Distributed Energy Systems
Bang L. H. Nguyen
T. Vu
Thai-Thanh Nguyen
M. Panwar
R. Hovsapian
32
3
0
05 Nov 2022
Port-metriplectic neural networks: thermodynamics-informed machine
  learning of complex physical systems
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
Quercus Hernandez
Alberto Badías
Francisco Chinesta
Elías Cueto
PINNAI4CE
114
15
0
03 Nov 2022
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Jiachen Yang
K. Mittal
T. Dzanic
S. Petrides
B. Keith
Brenden K. Petersen
Daniel Faissol
R. Anderson
71
8
0
02 Nov 2022
Towards Better Out-of-Distribution Generalization of Neural Algorithmic
  Reasoning Tasks
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks
Sadegh Mahdavi
Kevin Swersky
Thomas Kipf
Milad Hashemi
Christos Thrampoulidis
Renjie Liao
LRMOODNAI
104
26
0
01 Nov 2022
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous
  Graphs
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs
Marios Papachristou
Rishab Goel
Frank Portman
M. Miller
Rong Jin
96
0
0
01 Nov 2022
Distributed Graph Neural Network Training: A Survey
Distributed Graph Neural Network Training: A Survey
Yingxia Shao
Hongzheng Li
Xizhi Gu
Hongbo Yin
Yawen Li
Xupeng Miao
Wentao Zhang
Tengjiao Wang
Lei Chen
GNNAI4CE
127
65
0
01 Nov 2022
When Do We Need Graph Neural Networks for Node Classification?
When Do We Need Graph Neural Networks for Node Classification?
Sitao Luan
Chenqing Hua
Qincheng Lu
Jiaqi Zhu
Xiaoming Chang
Doina Precup
77
0
0
30 Oct 2022
A Comparative Study of Graph Neural Networks for Shape Classification in
  Neuroimaging
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging
N. Shehata
Wulfie Bain
Ben Glocker
112
2
0
29 Oct 2022
M3FGM:a node masking and multi-granularity message passing-based
  federated graph model for spatial-temporal data prediction
M3FGM:a node masking and multi-granularity message passing-based federated graph model for spatial-temporal data prediction
Yuxing Tian
Zheng Liu
Yanwen Qu
Song Li
Jiachi Luo
AI4CE
78
1
0
27 Oct 2022
Policy-Guided Lazy Search with Feedback for Task and Motion Planning
Policy-Guided Lazy Search with Feedback for Task and Motion Planning
M. Khodeir
Atharv Sonwane
Ruthrash Hari
Florian Shkurti
114
6
0
25 Oct 2022
$\texttt{Mangrove}$: Learning Galaxy Properties from Merger Trees
Mangrove\texttt{Mangrove}Mangrove: Learning Galaxy Properties from Merger Trees
C. K. Jespersen
M. Cranmer
Peter Melchior
S. Ho
R. Somerville
Austen Gabrielpillai
67
17
0
24 Oct 2022
Thermodynamics-informed neural networks for physically realistic mixed
  reality
Thermodynamics-informed neural networks for physically realistic mixed reality
Quercus Hernandez
Alberto Badías
Francisco Chinesta
Elías Cueto
PINNAI4CE
70
18
0
24 Oct 2022
Lexical Generalization Improves with Larger Models and Longer Training
Lexical Generalization Improves with Larger Models and Longer Training
Elron Bandel
Yoav Goldberg
Yanai Elazar
94
7
0
23 Oct 2022
Learning Feasibility of Factored Nonlinear Programs in Robotic
  Manipulation Planning
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning
Joaquim Ortiz de Haro
Jung-Su Ha
Danny Driess
E. Karpas
Marc Toussaint
77
2
0
22 Oct 2022
Benchmarking GPU and TPU Performance with Graph Neural Networks
Benchmarking GPU and TPU Performance with Graph Neural Networks
X. Ju
Yunsong Wang
D. Murnane
Nicholas Choma
S. Farrell
P. Calafiura
GNN
42
2
0
21 Oct 2022
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
Kedar Karhadkar
P. Banerjee
Guido Montúfar
100
67
0
21 Oct 2022
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph
  Neural Network Inference on GPUs
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs
Taha Tekdogan
Serkan Göktas
Ayse Yilmazer-Metin
56
0
0
20 Oct 2022
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles
  with Vectorized Representation
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation
Ding Li
Qichao Zhang
Shuai Lu
Yifeng Pan
Dongbin Zhao
82
5
0
19 Oct 2022
Machine Learning for a Sustainable Energy Future
Machine Learning for a Sustainable Energy Future
Zhenpeng Yao
Yanwei Lum
Andrew K. Johnston
L. M. Mejia-Mendoza
Xiaoxia Zhou
Yonggang Wen
Alán Aspuru-Guzik
E. Sargent
Z. Seh
94
237
0
19 Oct 2022
Predicting Winning Regions in Parity Games via Graph Neural Networks
  (Extended Abstract)
Predicting Winning Regions in Parity Games via Graph Neural Networks (Extended Abstract)
Tobias Hecking
Swathy Muthukrishnan
Alexander Weinert
64
0
0
18 Oct 2022
A Practical, Progressively-Expressive GNN
A Practical, Progressively-Expressive GNN
Lingxiao Zhao
Louis Härtel
Neil Shah
Leman Akoglu
85
18
0
18 Oct 2022
Test-Time Training for Graph Neural Networks
Test-Time Training for Graph Neural Networks
Yiqi Wang
Chaozhuo Li
Wei Jin
Rui Li
Jianan Zhao
Jiliang Tang
Xing Xie
OOD
107
15
0
17 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
Juncheng Liu
Bryan Hooi
Kenji Kawaguchi
X. Xiao
AI4CE
83
22
0
15 Oct 2022
Unsupervised Dense Nuclei Detection and Segmentation with Prior
  Self-activation Map For Histology Images
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images
Pingyi Chen
Chenglu Zhu
Zhongyi Shui
Jiatong Cai
S. Zheng
Shichuan Zhang
Ling Yang
46
4
0
14 Oct 2022
Revisiting Heterophily For Graph Neural Networks
Revisiting Heterophily For Graph Neural Networks
Sitao Luan
Chenqing Hua
Qincheng Lu
Jiaqi Zhu
Mingde Zhao
Shuyuan Zhang
Xiaoming Chang
Doina Precup
86
198
0
14 Oct 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for
  Domain Generalization
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
Chaoqi Chen
Luyao Tang
Feng Liu
Gangming Zhao
Yue Huang
Yizhou Yu
105
32
0
14 Oct 2022
Sample Efficient Dynamics Learning for Symmetrical Legged
  Robots:Leveraging Physics Invariance and Geometric Symmetries
Sample Efficient Dynamics Learning for Symmetrical Legged Robots:Leveraging Physics Invariance and Geometric Symmetries
Jee-eun Lee
Jaemin Lee
T. Bandyopadhyay
Luis Sentis
DRL
47
2
0
13 Oct 2022
Self-Supervised Learning of Linear Precoders under Non-Linear PA
  Distortion for Energy-Efficient Massive MIMO Systems
Self-Supervised Learning of Linear Precoders under Non-Linear PA Distortion for Energy-Efficient Massive MIMO Systems
Thomas Feys
Xavier Mestre
François Rottenberg
49
2
0
13 Oct 2022
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric
  Models
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
Ziyi Wu
Nikita Dvornik
Klaus Greff
Thomas Kipf
Animesh Garg
OCLBDL
140
95
0
12 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information
Uplifting Message Passing Neural Network with Graph Original Information
Xiao Liu
Lijun Zhang
Hui Guan
GNN
74
2
0
08 Oct 2022
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of
  Graph Neural Networks for Attributed and Dynamic Graphs
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs
Silvia Beddar-Wiesing
Giuseppe Alessio D’Inverno
C. Graziani
Veronica Lachi
Alice Moallemy-Oureh
F. Scarselli
J. M. Thomas
70
10
0
08 Oct 2022
GRANITE: A Graph Neural Network Model for Basic Block Throughput
  Estimation
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation
O. Sýkora
P. Phothilimthana
Charith Mendis
Amir Yazdanbakhsh
GNN
108
21
0
08 Oct 2022
Specialized Re-Ranking: A Novel Retrieval-Verification Framework for
  Cloth Changing Person Re-Identification
Specialized Re-Ranking: A Novel Retrieval-Verification Framework for Cloth Changing Person Re-Identification
Renjie Zhang
Yu Fang
Huaxin Song
Fangbin Wan
Yanwei Fu
Hirokazu Kato
Yang Wu
146
12
0
07 Oct 2022
Achieving and Understanding Out-of-Distribution Generalization in
  Systematic Reasoning in Small-Scale Transformers
Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers
A. Nam
Mustafa Abdool
Trevor C. Maxfield
James L. McClelland
NAILRMAI4CE
57
1
0
07 Oct 2022
Expander Graph Propagation
Expander Graph Propagation
Andreea Deac
Marc Lackenby
Petar Velivcković
148
57
0
06 Oct 2022
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN
Yadi Cao
Menglei Chai
Minchen Li
Chenfanfu Jiang
AI4CE
97
25
0
05 Oct 2022
Relational Proxies: Emergent Relationships as Fine-Grained
  Discriminators
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators
Abhra Chaudhuri
Massimiliano Mancini
Zeynep Akata
Anjan Dutta
60
4
0
05 Oct 2022
Stateful active facilitator: Coordination and Environmental
  Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
114
8
0
04 Oct 2022
MultiScale MeshGraphNets
MultiScale MeshGraphNets
Meire Fortunato
Tobias Pfaff
Peter Wirnsberger
Alexander Pritzel
Peter W. Battaglia
AI4CE
98
78
0
02 Oct 2022
GFlowNets and variational inference
GFlowNets and variational inference
Nikolay Malkin
Salem Lahlou
T. Deleu
Xu Ji
J. E. Hu
Katie Everett
Dinghuai Zhang
Yoshua Bengio
BDL
227
89
0
02 Oct 2022
Dynamic Inference on Graphs using Structured Transition Models
Dynamic Inference on Graphs using Structured Transition Models
Saumya Saxena
Oliver Kroemer
AI4CE
121
0
0
29 Sep 2022
Zero-shot visual reasoning through probabilistic analogical mapping
Zero-shot visual reasoning through probabilistic analogical mapping
Taylor Webb
Shuhao Fu
Trevor Bihl
K. Holyoak
Hongjing Lu
LRM
95
13
0
29 Sep 2022
Deep learning and multi-level featurization of graph representations of
  microstructural data
Deep learning and multi-level featurization of graph representations of microstructural data
Reese E. Jones
Cosmin Safta
A. Frankel
AI4CE
70
4
0
29 Sep 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer
  Vision: A Task-Oriented Perspective
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
Chaoqi Chen
Yushuang Wu
Qiyuan Dai
Hong-Yu Zhou
Mutian Xu
Sibei Yang
Xiaoguang Han
Yizhou Yu
ViTMedImAI4CE
137
80
0
27 Sep 2022
Learned Force Fields Are Ready For Ground State Catalyst Discovery
Learned Force Fields Are Ready For Ground State Catalyst Discovery
Michael Schaarschmidt
M. Rivière
A. Ganose
J. Spencer
Alex Gaunt
J. Kirkpatrick
Simon Axelrod
Peter W. Battaglia
Jonathan Godwin
84
11
0
26 Sep 2022
Graph Neural Networks for Multi-Robot Active Information Acquisition
Graph Neural Networks for Multi-Robot Active Information Acquisition
Mariliza Tzes
N. Bousias
Evangelos Chatzipantazis
George J. Pappas
GNN
118
34
0
24 Sep 2022
Planning for Multi-Object Manipulation with Graph Neural Network
  Relational Classifiers
Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers
Yixuan Huang
Adam Conkey
Tucker Hermans
126
26
0
24 Sep 2022
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