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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
Unsupervised Network Embedding Beyond Homophily
Unsupervised Network Embedding Beyond Homophily
Zhiqiang Zhong
Guadalupe Gonzalez
Daniele Grattarola
Jun Pang
OODDGNN
92
6
0
21 Mar 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with
  Heterophily
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily
Jie Chen
Shouzhen Chen
Junbin Gao
Zengfeng Huang
Junping Zhang
Jian Pu
105
27
0
19 Mar 2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
Zehao Dong
Muhan Zhang
Fuhai Li
Yixin Chen
CMLGNN
111
19
0
19 Mar 2022
Why we need biased AI -- How including cognitive and ethical machine
  biases can enhance AI systems
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems
Sarah Fabi
Thilo Hagendorff
70
12
0
18 Mar 2022
Symmetry-Based Representations for Artificial and Biological General
  Intelligence
Symmetry-Based Representations for Artificial and Biological General Intelligence
I. Higgins
S. Racanière
Danilo Jimenez Rezende
AI4CE
95
46
0
17 Mar 2022
Predicate Invention for Bilevel Planning
Predicate Invention for Bilevel Planning
Tom Silver
Rohan Chitnis
Nishanth Kumar
Willie McClinton
Tomás Lozano-Pérez
L. Kaelbling
J. Tenenbaum
189
43
0
17 Mar 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured
  Reinforcement Learning
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
Seyed Kamyar Seyed Ghasemipour
Daniel Freeman
Byron David
S. Gu
Satoshi Kataoka
Igor Mordatch
OffRL
91
26
0
15 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph
  Classification
Incorporating Heterophily into Graph Neural Networks for Graph Classification
Jiayi Yang
Sourav Medya
Wei Ye
83
5
0
15 Mar 2022
Neural Message Passing for Objective-Based Uncertainty Quantification
  and Optimal Experimental Design
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design
Qihua Chen
Xuejin Chen
Hyun-Myung Woo
Byung-Jun Yoon
46
2
0
14 Mar 2022
Towards Neural Sparse Linear Solvers
Towards Neural Sparse Linear Solvers
Luca Grementieri
P. Galeone
44
7
0
14 Mar 2022
Continual Learning for Multivariate Time Series Tasks with Variable
  Input Dimensions
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions
Vibhor Gupta
Jyoti Narwariya
Pankaj Malhotra
Lovekesh Vig
Gautam M. Shroff
AI4TS
64
21
0
14 Mar 2022
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep
  Reinforcement Learning of Robot Control
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control
Marco Oliva
Soubarna Banik
Josip Josifovski
Alois Knoll
77
5
0
11 Mar 2022
Breaking the Curse of Dimensionality in Multiagent State Space: A
  Unified Agent Permutation Framework
Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework
Xiaotian Hao
Hangyu Mao
Weixun Wang
Yaodong Yang
Dong Li
Yan Zheng
Zhen Wang
Jianye Hao
LRM
69
6
0
10 Mar 2022
Learning from Physical Human Feedback: An Object-Centric One-Shot
  Adaptation Method
Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method
Alvin C M Shek
Bo Ying Su
Rui Chen
Changliu Liu
43
6
0
09 Mar 2022
Representation, learning, and planning algorithms for geometric task and
  motion planning
Representation, learning, and planning algorithms for geometric task and motion planning
Beomjoon Kim
Luke Shimanuki
L. Kaelbling
Tomás Lozano-Pérez
78
24
0
09 Mar 2022
Graph-based Reinforcement Learning meets Mixed Integer Programs: An
  application to 3D robot assembly discovery
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery
Niklas Funk
Svenja Menzenbach
Georgia Chalvatzaki
Jan Peters
89
13
0
08 Mar 2022
Few-Sample Traffic Prediction with Graph Networks using Locale as
  Relational Inductive Biases
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases
Mingxiao Li
Yihong Tang
Wei-Ying Ma
GNNAI4TS
78
9
0
08 Mar 2022
Important Object Identification with Semi-Supervised Learning for
  Autonomous Driving
Important Object Identification with Semi-Supervised Learning for Autonomous Driving
Jiachen Li
Haiming Gang
Hengbo Ma
Masayoshi Tomizuka
Chiho Choi
93
12
0
05 Mar 2022
R-GCN: The R Could Stand for Random
R-GCN: The R Could Stand for Random
Vic Degraeve
Gilles Vandewiele
F. Ongenae
Sofie Van Hoecke
GNN
63
13
0
04 Mar 2022
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces
  in End-to-End Robot Learning
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning
Aditya Ganapathi
Peter R. Florence
Jacob Varley
Kaylee Burns
Ken Goldberg
Andy Zeng
195
18
0
03 Mar 2022
Graph Neural Networks for Multimodal Single-Cell Data Integration
Graph Neural Networks for Multimodal Single-Cell Data Integration
Haifang Wen
Jiayuan Ding
Wei Jin
Yiqi Wang
Yuying Xie
Jiliang Tang
116
55
0
03 Mar 2022
Thermodynamics-informed graph neural networks
Thermodynamics-informed graph neural networks
Quercus Hernandez
Alberto Badías
Francisco Chinesta
Elías Cueto
AI4CEPINN
92
32
0
03 Mar 2022
On an application of graph neural networks in population based SHM
On an application of graph neural networks in population based SHM
G. Tsialiamanis
Charilaos Mylonas
Eleni Chatzi
David J. Wagg
N. Dervilis
K. Worden
45
3
0
03 Mar 2022
RouteNet-Erlang: A Graph Neural Network for Network Performance
  Evaluation
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation
Miquel Ferriol Galmés
Krzysztof Rusek
José Suárez-Varela
Shihan Xiao
Xiangle Cheng
Pere Barlet-Ros
A. Cabellos-Aparicio
GNNMoE
57
38
0
28 Feb 2022
Concept Graph Neural Networks for Surgical Video Understanding
Concept Graph Neural Networks for Surgical Video Understanding
Yutong Ban
J. Eckhoff
Thomas M. Ward
Daniel A. Hashimoto
O. Meireles
Daniela Rus
Guy Rosman
NAI
84
18
0
27 Feb 2022
Self-Supervised and Interpretable Anomaly Detection using Network
  Transformers
Self-Supervised and Interpretable Anomaly Detection using Network Transformers
Daniel L. Marino
Chathurika S. Wickramasinghe
C. Rieger
Milos Manic
67
8
0
25 Feb 2022
Equilibrium Aggregation: Encoding Sets via Optimization
Equilibrium Aggregation: Encoding Sets via Optimization
Sergey Bartunov
F. Fuchs
Timothy Lillicrap
78
7
0
25 Feb 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
Danny Driess
Zhiao Huang
Yunzhu Li
Russ Tedrake
Marc Toussaint
OCLAI4CE
199
87
0
24 Feb 2022
Learning the nonlinear dynamics of soft mechanical metamaterials with
  graph networks
Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks
Tianju Xue
S. Adriaenssens
S. Mao
AI4CE
63
26
0
24 Feb 2022
Message passing all the way up
Message passing all the way up
Petar Velickovic
175
66
0
22 Feb 2022
Learning Dynamics and Structure of Complex Systems Using Graph Neural
  Networks
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks
Zhe Li
A. Tolias
Xaq Pitkow
AI4CE
71
3
0
22 Feb 2022
HCMD-zero: Learning Value Aligned Mechanisms from Data
HCMD-zero: Learning Value Aligned Mechanisms from Data
Jan Balaguer
Raphael Köster
Ari Weinstein
Lucy Campbell-Gillingham
Christopher Summerfield
M. Botvinick
Andrea Tacchetti
23
5
0
21 Feb 2022
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics
Ke Sun
Stephen M. Chaves
Paul D. Martin
Vijay Kumar
GNN
85
1
0
21 Feb 2022
Equivariant Graph Attention Networks for Molecular Property Prediction
Equivariant Graph Attention Networks for Molecular Property Prediction
Tuan Le
Frank Noé
Djork-Arné Clevert
79
22
0
20 Feb 2022
Improving the Level of Autism Discrimination through GraphRNN Link
  Prediction
Improving the Level of Autism Discrimination through GraphRNN Link Prediction
Haonan Sun
Q. He
Shouliang Qi
Yudong Yao
Yueyang Teng
62
0
0
19 Feb 2022
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal
  Traffic Forecasting
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting
Y. Shin
Yoonjin Yoon
GNNAI4TS
74
45
0
18 Feb 2022
Retrieval-Augmented Reinforcement Learning
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal
A. Friesen
Andrea Banino
T. Weber
Nan Rosemary Ke
...
Michal Valko
Simon Osindero
Timothy Lillicrap
N. Heess
Charles Blundell
OffRL
87
55
0
17 Feb 2022
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug
  Discovery
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
Zhaocheng Zhu
Chence Shi
Zuobai Zhang
Shengchao Liu
Minghao Xu
...
Chang Ma
Runcheng Liu
Louis-Pascal Xhonneux
Meng Qu
Jian Tang
OODVLMMedIm
42
72
0
16 Feb 2022
Understanding and Improving Graph Injection Attack by Promoting
  Unnoticeability
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Yongqiang Chen
Han Yang
Yonggang Zhang
Kaili Ma
Tongliang Liu
Bo Han
James Cheng
AAML
122
86
0
16 Feb 2022
Forecasting Global Weather with Graph Neural Networks
Forecasting Global Weather with Graph Neural Networks
R. Keisler
AI4Cl
122
173
0
15 Feb 2022
Modular multi-source prediction of drug side-effects with DruGNN
Modular multi-source prediction of drug side-effects with DruGNN
P. Bongini
F. Scarselli
Monica Bianchini
Giovanna Maria Dimitri
Niccolò Pancino
Pietro Lio
26
18
0
15 Feb 2022
Neural NID Rules
Neural NID Rules
Luca Viano
Johanni Brea
NAIAI4CE
109
0
0
12 Feb 2022
A Graph-based U-Net Model for Predicting Traffic in unseen Cities
A Graph-based U-Net Model for Predicting Traffic in unseen Cities
L. Hermes
Barbara Hammer
Andrew Melnik
Riza Velioglu
Markus Vieth
M. Schilling
GNNAI4TSAI4CE
75
6
0
11 Feb 2022
Transferable and Adaptable Driving Behavior Prediction
Transferable and Adaptable Driving Behavior Prediction
Letian Wang
Yeping Hu
Liting Sun
Wei Zhan
Masayoshi Tomizuka
Changliu Liu
82
26
0
10 Feb 2022
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic
  Agents
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents
Ahmed Akakzia
Olivier Serris
Olivier Sigaud
Cédric Colas
52
6
0
10 Feb 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
Xin Liu
Yurui Lai
Lei Deng
Guoqi Li
Xiaochun Ye
Xiaochun Ye
Shirui Pan
Yuan Xie
GNN
65
44
0
10 Feb 2022
Multi-model Ensemble Analysis with Neural Network Gaussian Processes
Multi-model Ensemble Analysis with Neural Network Gaussian Processes
Trevor Harris
Yangqiu Song
Ryan Sriver
115
5
0
08 Feb 2022
Message Passing Neural PDE Solvers
Message Passing Neural PDE Solvers
Johannes Brandstetter
Daniel E. Worrall
Max Welling
AI4CE
128
288
0
07 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors
  to Sequences
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences
Meng Liu
Shuiwang Ji
GNN
69
3
0
07 Feb 2022
Network Calculus with Flow Prolongation -- A Feedforward FIFO Analysis
  enabled by ML
Network Calculus with Flow Prolongation -- A Feedforward FIFO Analysis enabled by ML
Fabien Geyer
Alexander Scheffler
Steffen Bondorf
84
6
0
07 Feb 2022
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