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Relational inductive biases, deep learning, and graph networks
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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
Learning Visual Dynamics Models of Rigid Objects using Relational
  Inductive Biases
Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases
Fabio Ferreira
Lin Shao
Tamim Asfour
Jeannette Bohg
AI4CE
38
3
0
09 Sep 2019
Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's
  Disease using Deep Recurrent Neural Networks
Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks
Spyroula Masiala
W. Huijbers
M. Atzmüller
45
19
0
08 Sep 2019
SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions
SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions
Luis J. Manso
Pedro Núñez Trujillo
L. Calderita
Diego Resende Faria
P. Bachiller
45
26
0
06 Sep 2019
Learning from Label Proportions with Generative Adversarial Networks
Learning from Label Proportions with Generative Adversarial Networks
Jiabin Liu
Bo Wang
Zhiquan Qi
Ying-jie Tian
Yong Shi
GAN
72
40
0
05 Sep 2019
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
Bill Yuchen Lin
Xinyue Chen
Jamin Chen
Xiang Ren
95
464
0
04 Sep 2019
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in
  Heterogeneous Clusters
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters
Subho Sankar Banerjee
Saurabh Jha
Zbigniew T. Kalbarczyk
Ravishankar Iyer
46
11
0
04 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
Jiaqi Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng Zhang
AI4CEGNN
305
763
0
03 Sep 2019
HiCoRe: Visual Hierarchical Context-Reasoning
HiCoRe: Visual Hierarchical Context-Reasoning
P. H. Bugatti
P. T. Saito
L. Davis
OCL
59
1
0
02 Sep 2019
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach
  for Cooperative Traffic Light Control
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control
Yanan Wang
Tong Xu
Xin Niu
Chang Tan
Enhong Chen
Hui Xiong
98
8
0
28 Aug 2019
Compositional Video Prediction
Compositional Video Prediction
Yufei Ye
Maneesh Singh
Abhinav Gupta
Shubham Tulsiani
84
85
0
22 Aug 2019
Learning Object-Action Relations from Bimanual Human Demonstration Using
  Graph Networks
Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks
Christian R. G. Dreher
Mirko Wächter
Tamim Asfour
69
66
0
22 Aug 2019
Feature Interaction-aware Graph Neural Networks
Feature Interaction-aware Graph Neural Networks
Kaize Ding
Yichuan Li
Jundong Li
Chenghao Liu
Huan Liu
GNN
52
10
0
19 Aug 2019
Dynamic Graph Message Passing Networks
Dynamic Graph Message Passing Networks
Li Zhang
Dan Xu
Anurag Arnab
Philip Torr
GNN
102
138
0
19 Aug 2019
Message Passing for Complex Question Answering over Knowledge Graphs
Message Passing for Complex Question Answering over Knowledge Graphs
Svitlana Vakulenko
J. D. F. Garcia
A. Polleres
Maarten de Rijke
Michael Cochez
86
73
0
19 Aug 2019
Are You for Real? Detecting Identity Fraud via Dialogue Interactions
Are You for Real? Detecting Identity Fraud via Dialogue Interactions
Weikang Wang
Jiajun Zhang
Q. Li
Chengqing Zong
Zhifei Li
70
17
0
19 Aug 2019
Neural Dynamics on Complex Networks
Neural Dynamics on Complex Networks
Chengxi Zang
Fei Wang
AI4CE
113
71
0
18 Aug 2019
Progressive Relation Learning for Group Activity Recognition
Progressive Relation Learning for Group Activity Recognition
Guyue Hu
Bo Cui
Yuan He
Shan Yu
88
81
0
08 Aug 2019
An Empirical Study on Leveraging Scene Graphs for Visual Question
  Answering
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering
Cheng Zhang
Wei-Lun Chao
D. Xuan
77
51
0
28 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social
  Recommendation
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
KyungHyun Kim
Donghyun Kwak
Hanock Kwak
Young-Jin Park
Sangkwon Sim
Jae-Han Cho
Minkyu Kim
Jihun Kwon
Nako Sung
Jung-Woo Ha
71
19
0
24 Jul 2019
IsoNN: Isomorphic Neural Network for Graph Representation Learning and
  Classification
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
Lin Meng
Jiawei Zhang
GNN
69
19
0
22 Jul 2019
Image Classification with Hierarchical Multigraph Networks
Image Classification with Hierarchical Multigraph Networks
Boris Knyazev
Xiaoyu Lin
Mohamed R. Amer
Graham W. Taylor
GNNBDL
74
35
0
21 Jul 2019
Representation Learning for Classical Planning from Partially Observed
  Traces
Representation Learning for Classical Planning from Partially Observed Traces
Zhanhao Xiao
Hai Wan
Hankui Zhuo
Jinxia Lin
Yanan Liu
124
4
0
19 Jul 2019
Graph-Structured Visual Imitation
Graph-Structured Visual Imitation
Maximilian Sieb
Xian Zhou
Audrey Huang
Oliver Kroemer
Katerina Fragkiadaki
107
65
0
11 Jul 2019
Graph Neural Based End-to-end Data Association Framework for Online
  Multiple-Object Tracking
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
Xiaolong Jiang
Peizhao Li
Yanjing Li
Xiantong Zhen
VOT
77
33
0
11 Jul 2019
Learning Truthful, Efficient, and Welfare Maximizing Auction Rules
Learning Truthful, Efficient, and Welfare Maximizing Auction Rules
Andrea Tacchetti
D. Strouse
M. Garnelo
T. Graepel
Yoram Bachrach
17
6
0
11 Jul 2019
Understanding the Representation Power of Graph Neural Networks in
  Learning Graph Topology
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Nima Dehmamy
Albert-László Barabási
Rose Yu
GNN
106
135
0
11 Jul 2019
Fast Haar Transforms for Graph Neural Networks
Fast Haar Transforms for Graph Neural Networks
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
83
77
0
10 Jul 2019
Learning by Abstraction: The Neural State Machine
Learning by Abstraction: The Neural State Machine
Drew A. Hudson
Christopher D. Manning
NAIOCL
131
262
0
09 Jul 2019
What graph neural networks cannot learn: depth vs width
What graph neural networks cannot learn: depth vs width
Andreas Loukas
GNN
100
301
0
06 Jul 2019
Graph-based Knowledge Distillation by Multi-head Attention Network
Graph-based Knowledge Distillation by Multi-head Attention Network
Seunghyun Lee
B. Song
89
77
0
04 Jul 2019
Spectral Clustering with Graph Neural Networks for Graph Pooling
Spectral Clustering with Graph Neural Networks for Graph Pooling
F. Bianchi
Daniele Grattarola
Cesare Alippi
GNN
121
40
0
30 Jun 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
Marc Brockschmidt
116
141
0
28 Jun 2019
Placeto: Learning Generalizable Device Placement Algorithms for
  Distributed Machine Learning
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
Ravichandra Addanki
S. Venkatakrishnan
Shreyan Gupta
Hongzi Mao
Mohammad Alizadeh
OODOffRL
75
68
0
20 Jun 2019
Efficient data augmentation using graph imputation neural networks
Efficient data augmentation using graph imputation neural networks
Indro Spinelli
Simone Scardapane
M. Scarpiniti
A. Uncini
21
5
0
20 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Yiding Jiang
S. Gu
Kevin Patrick Murphy
Chelsea Finn
OffRL
69
225
0
18 Jun 2019
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning
Zhengxiao Du
Chang Zhou
Ming Ding
Hongxia Yang
Jie Tang
ReLMLRM
67
24
0
13 Jun 2019
A Model to Search for Synthesizable Molecules
A Model to Search for Synthesizable Molecules
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
92
109
0
12 Jun 2019
Manifold Graph with Learned Prototypes for Semi-Supervised Image
  Classification
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification
Chia-Wen Kuo
Chih-Yao Ma
Jia-Bin Huang
Z. Kira
52
2
0
12 Jun 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
104
498
0
11 Jun 2019
Learning the Graphical Structure of Electronic Health Records with Graph
  Convolutional Transformer
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
Edward Choi
Zhen Xu
Yujia Li
Michael W. Dusenberry
Gerardo Flores
Yuan Xue
Andrew M. Dai
MedIm
88
246
0
11 Jun 2019
Relationship-Embedded Representation Learning for Grounding Referring
  Expressions
Relationship-Embedded Representation Learning for Grounding Referring Expressions
Sibei Yang
Guanbin Li
Yizhou Yu
ObjD
93
55
0
11 Jun 2019
Joint Visual Grounding with Language Scene Graphs
Joint Visual Grounding with Language Scene Graphs
Daqing Liu
Hanwang Zhang
Zhengjun Zha
Meng Wang
Qianru Sun
69
6
0
09 Jun 2019
Learning Representations of Graph Data -- A Survey
Learning Representations of Graph Data -- A Survey
Mital Kinderkhedia
GNN
79
12
0
07 Jun 2019
A Perspective on Objects and Systematic Generalization in Model-Based RL
A Perspective on Objects and Systematic Generalization in Model-Based RL
Sjoerd van Steenkiste
Klaus Greff
Jürgen Schmidhuber
OCLOffRL
102
31
0
03 Jun 2019
Incorporating Biological Knowledge with Factor Graph Neural Network for
  Interpretable Deep Learning
Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning
Tianle Ma
A. Zhang
FaML
54
13
0
03 Jun 2019
Explainability Techniques for Graph Convolutional Networks
Explainability Techniques for Graph Convolutional Networks
Federico Baldassarre
Hossein Azizpour
GNNFAtt
178
272
0
31 May 2019
Attentional Policies for Cross-Context Multi-Agent Reinforcement
  Learning
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning
Matthew A. Wright
R. Horowitz
52
3
0
31 May 2019
Rethinking Table Recognition using Graph Neural Networks
Rethinking Table Recognition using Graph Neural Networks
S. Qasim
Hassan Mahmood
Faisal Shafait
GNNLMTD
52
13
0
31 May 2019
What Can Neural Networks Reason About?
What Can Neural Networks Reason About?
Keyulu Xu
Jingling Li
Mozhi Zhang
S. Du
Ken-ichi Kawarabayashi
Stefanie Jegelka
NAIAI4CE
110
248
0
30 May 2019
Neural Consciousness Flow
Neural Consciousness Flow
Xiaoran Xu
Wei Feng
Zhiqing Sun
Zhihong Deng
GNNAI4CE
77
2
0
30 May 2019
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