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

50 / 1,598 papers shown
Title
Do Syntax Trees Help Pre-trained Transformers Extract Information?
Do Syntax Trees Help Pre-trained Transformers Extract Information?
Devendra Singh Sachan
Yuhao Zhang
Peng Qi
William L. Hamilton
50
79
0
20 Aug 2020
Relevance of Rotationally Equivariant Convolutions for Predicting
  Molecular Properties
Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties
Benjamin Kurt Miller
Mario Geiger
Tess E. Smidt
Frank Noé
107
78
0
19 Aug 2020
SoDA: Multi-Object Tracking with Soft Data Association
SoDA: Multi-Object Tracking with Soft Data Association
Wei-Chih Hung
Henrik Kretzschmar
Nayeon Lee
Yuning Chai
Ruichi Yu
Ming-Hsuan Yang
Drago Anguelov
VOT
95
16
0
18 Aug 2020
Learning Graph Edit Distance by Graph Neural Networks
Learning Graph Edit Distance by Graph Neural Networks
Pau Riba
Andreas Fischer
Josep Lladós
Alicia Fornés
GNN
63
23
0
17 Aug 2020
Explainability in Deep Reinforcement Learning
Explainability in Deep Reinforcement Learning
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
XAI
241
283
0
15 Aug 2020
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle
  Reconstruction in High Energy Physics
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Y. Iiyama
G. Cerminara
Abhijay Gupta
J. Kieseler
Vladimir Loncar
...
Miaoyuan Liu
K. Pedro
N. Tran
E. Kreinar
Zhenbin Wu
75
68
0
08 Aug 2020
Zero-Shot Multi-View Indoor Localization via Graph Location Networks
Zero-Shot Multi-View Indoor Localization via Graph Location Networks
Meng-Jiun Chiou
Zhenguang Liu
Yifang Yin
Anan Liu
Roger Zimmermann
64
27
0
06 Aug 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction
  Networks
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi
Xiaolong Wang
Deepak Pathak
Yi-An Ma
Jitendra Malik
102
59
0
05 Aug 2020
Detecting Beneficial Feature Interactions for Recommender Systems
Detecting Beneficial Feature Interactions for Recommender Systems
Yixin Su
Rui Zhang
S. Erfani
Zhenghua Xu
120
75
0
02 Aug 2020
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile
  Object Recognition
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition
Fuqiang Gu
Weicong Sng
Tasbolat Taunyazov
Harold Soh
35
40
0
01 Aug 2020
Graph signal processing for machine learning: A review and new
  perspectives
Graph signal processing for machine learning: A review and new perspectives
Xiaowen Dong
D. Thanou
Laura Toni
M. Bronstein
P. Frossard
94
169
0
31 Jul 2020
Multi-camera Torso Pose Estimation using Graph Neural Networks
Multi-camera Torso Pose Estimation using Graph Neural Networks
Daniel Rodriguez-Criado
P. Bachiller
Pablo Bustos
George Vogiatzis
Luis J. Manso
3DH
47
5
0
28 Jul 2020
The Complexity of the Distributed Constraint Satisfaction Problem
The Complexity of the Distributed Constraint Satisfaction Problem
Silvia Butti
V. Dalmau
45
9
0
27 Jul 2020
Hierarchical Protein Function Prediction with Tail-GNNs
Hierarchical Protein Function Prediction with Tail-GNNs
Stefan Spalević
Petar Velivcković
Jovana Kovavcević
Mladen Nikolic
AI4CE
66
5
0
24 Jul 2020
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning
  on Graphs
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Fanfei Chen
John D. Martin
Yewei Huang
Jinkun Wang
Brendan Englot
73
61
0
24 Jul 2020
Visual Compositional Learning for Human-Object Interaction Detection
Visual Compositional Learning for Human-Object Interaction Detection
Zhi Hou
Xiaojiang Peng
Yu Qiao
Dacheng Tao
VLM
96
184
0
24 Jul 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
219
159
0
23 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph
  Representation and Learning
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning
Xuebin Zheng
Bingxin Zhou
Ming Li
Yu Guang Wang
Junbin Gao
74
2
0
22 Jul 2020
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning
Chi Zhang
Ryan Marcus
Anat Kleiman
Olga Papaemmanouil
32
15
0
21 Jul 2020
Deep Learning for Abstract Argumentation Semantics
Deep Learning for Abstract Argumentation Semantics
Dennis Craandijk
Floris Bex
SSeg
90
31
0
15 Jul 2020
S2RMs: Spatially Structured Recurrent Modules
S2RMs: Spatially Structured Recurrent Modules
Nasim Rahaman
Anirudh Goyal
Muhammad Waleed Gondal
M. Wuthrich
Stefan Bauer
Yash Sharma
Yoshua Bengio
Bernhard Schölkopf
93
14
0
13 Jul 2020
Automated Intracranial Artery Labeling using a Graph Neural Network and
  Hierarchical Refinement
Automated Intracranial Artery Labeling using a Graph Neural Network and Hierarchical Refinement
Lixing Chen
T. Hatsukami
Lei Li
C. Yuan
65
22
0
11 Jul 2020
Learning to plan with uncertain topological maps
Learning to plan with uncertain topological maps
E. Beeching
J. Dibangoye
Olivier Simonin
Christian Wolf
79
41
0
10 Jul 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected
  Graphical Models
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adarsh K. Jeewajee
L. Kaelbling
BDL
56
1
0
09 Jul 2020
Node Copying for Protection Against Graph Neural Network Topology
  Attacks
Node Copying for Protection Against Graph Neural Network Topology Attacks
Florence Regol
Soumyasundar Pal
Mark Coates
AAMLGNN
112
1
0
09 Jul 2020
One Policy to Control Them All: Shared Modular Policies for
  Agent-Agnostic Control
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
Wenlong Huang
Igor Mordatch
Deepak Pathak
145
179
0
09 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDLCLL
76
37
0
09 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications
Deep Reinforcement Learning and its Neuroscientific Implications
M. Botvinick
Jane X. Wang
Will Dabney
Kevin J. Miller
Z. Kurth-Nelson
OffRLAI4CE
97
176
0
07 Jul 2020
Strong Generalization and Efficiency in Neural Programs
Strong Generalization and Efficiency in Neural Programs
Yujia Li
Felix Gimeno
Pushmeet Kohli
Oriol Vinyals
134
17
0
07 Jul 2020
Network Embedding with Completely-imbalanced Labels
Network Embedding with Completely-imbalanced Labels
Zheng Wang
Xiaojun Ye
Chaokun Wang
Jian Cui
Philip S. Yu
61
55
0
07 Jul 2020
RGCF: Refined Graph Convolution Collaborative Filtering with concise and
  expressive embedding
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding
Kang Liu
Feng Xue
Richang Hong
GNN
35
9
0
07 Jul 2020
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural
  Networks
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks
Amol Kapoor
X. Ben
Luyang Liu
Bryan Perozzi
Matt Barnes
Martin J. Blais
S. O’Banion
78
196
0
06 Jul 2020
On Data Augmentation and Adversarial Risk: An Empirical Analysis
On Data Augmentation and Adversarial Risk: An Empirical Analysis
Hamid Eghbalzadeh
Khaled Koutini
Paul Primus
Verena Haunschmid
Michal Lewandowski
Werner Zellinger
Bernhard A. Moser
Gerhard Widmer
AAML
42
9
0
06 Jul 2020
Graph2Kernel Grid-LSTM: A Multi-Cued Model for Pedestrian Trajectory
  Prediction by Learning Adaptive Neighborhoods
Graph2Kernel Grid-LSTM: A Multi-Cued Model for Pedestrian Trajectory Prediction by Learning Adaptive Neighborhoods
Sirin Haddad
S. Lam
58
1
0
03 Jul 2020
Learning intuitive physics and one-shot imitation using
  state-action-prediction self-organizing maps
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps
M. Stetter
E. Lang
SSLAI4CE
68
0
0
03 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank
Scaling Graph Neural Networks with Approximate PageRank
Aleksandar Bojchevski
Johannes Klicpera
Bryan Perozzi
Amol Kapoor
Martin J. Blais
Benedek Rozemberczki
Michal Lukasik
Stephan Günnemann
GNN
173
376
0
03 Jul 2020
Deep learning of thermodynamics-aware reduced-order models from data
Deep learning of thermodynamics-aware reduced-order models from data
Quercus Hernandez
Alberto Badías
D. González
Francisco Chinesta
Elías Cueto
PINNAI4CE
76
80
0
03 Jul 2020
Clustering of Electromagnetic Showers and Particle Interactions with
  Graph Neural Networks in Liquid Argon Time Projection Chambers Data
Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Networks in Liquid Argon Time Projection Chambers Data
F. Drielsma
Qing Lin
Pierre Côte de Soux
Laura Dominé
R. Itay
D. Koh
Bradley J. Nelson
K. Terao
K. Tsang
T. Usher
71
5
0
02 Jul 2020
From Spectrum Wavelet to Vertex Propagation: Graph Convolutional
  Networks Based on Taylor Approximation
From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation
Songyang Zhang
Han Zhang
Shuguang Cui
Zhi Ding
GNN
48
1
0
01 Jul 2020
Causal Discovery in Physical Systems from Videos
Causal Discovery in Physical Systems from Videos
Yunzhu Li
Antonio Torralba
Anima Anandkumar
Dieter Fox
Animesh Garg
CML
124
104
0
01 Jul 2020
Handling Variable-Dimensional Time Series with Graph Neural Networks
Handling Variable-Dimensional Time Series with Graph Neural Networks
Vibhor Gupta
Jyoti Narwariya
Pankaj Malhotra
Lovekesh Vig
Gautam M. Shroff
AI4TS
57
6
0
01 Jul 2020
Graph Neural Networks Including Sparse Interpretability
Graph Neural Networks Including Sparse Interpretability
Chris Lin
Gerald J. Sun
K. Bulusu
J. Dry
Marylens Hernandez
49
8
0
30 Jun 2020
Model-based Reinforcement Learning: A Survey
Model-based Reinforcement Learning: A Survey
Thomas M. Moerland
Joost Broekens
Aske Plaat
Catholijn M. Jonker
OffRL
117
49
0
30 Jun 2020
Graph Neural Networks for Leveraging Industrial Equipment Structure: An
  application to Remaining Useful Life Estimation
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation
Jyoti Narwariya
Pankaj Malhotra
T. Vishnu
Lovekesh Vig
Gautam M. Shroff
AI4CE
54
22
0
30 Jun 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks
Path Integral Based Convolution and Pooling for Graph Neural Networks
Zheng Ma
Junyu Xuan
Yu Guang Wang
Ming Li
Pietro Lio
GNN
86
56
0
29 Jun 2020
Building powerful and equivariant graph neural networks with structural
  message-passing
Building powerful and equivariant graph neural networks with structural message-passing
Clément Vignac
Andreas Loukas
P. Frossard
100
123
0
26 Jun 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks
Policy-GNN: Aggregation Optimization for Graph Neural Networks
Kwei-Herng Lai
Daochen Zha
Kaixiong Zhou
Helen Zhou
138
93
0
26 Jun 2020
Object-Centric Learning with Slot Attention
Object-Centric Learning with Slot Attention
Francesco Locatello
Dirk Weissenborn
Thomas Unterthiner
Aravindh Mahendran
G. Heigold
Jakob Uszkoreit
Alexey Dosovitskiy
Thomas Kipf
OCL
241
859
0
26 Jun 2020
Space-Time Correspondence as a Contrastive Random Walk
Space-Time Correspondence as a Contrastive Random Walk
Allan Jabri
Andrew Owens
Alexei A. Efros
SSLOT
144
304
0
25 Jun 2020
Graph Neural Network Based Coarse-Grained Mapping Prediction
Graph Neural Network Based Coarse-Grained Mapping Prediction
Zhiheng Li
Geemi P Wellawatte
M. Chakraborty
Heta A. Gandhi
Chenliang Xu
A. White
AI4CE
56
33
0
24 Jun 2020
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