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Relational inductive biases, deep learning, and graph networks

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
    AI4CE
    NAI
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Papers citing "Relational inductive biases, deep learning, and graph networks"

50 / 350 papers shown
Title
Multimodal Trajectory Prediction via Topological Invariance for
  Navigation at Uncontrolled Intersections
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections
Junha Roh
Christoforos Mavrogiannis
Rishabh Madan
D. Fox
S. Srinivasa
16
28
0
08 Nov 2020
Multi-agent Trajectory Prediction with Fuzzy Query Attention
Multi-agent Trajectory Prediction with Fuzzy Query Attention
Nitin Kamra
Hao Zhu
Dweep Trivedi
Ming Zhang
Yan Liu
AI4CE
19
31
0
29 Oct 2020
Compositional Generalization and Natural Language Variation: Can a
  Semantic Parsing Approach Handle Both?
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?
Peter Shaw
Ming-Wei Chang
Panupong Pasupat
Kristina Toutanova
CoGe
25
182
0
24 Oct 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement
  Learning
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang
Wen Song
Zhiguang Cao
Jie M. Zhang
Puay Siew Tan
Chi Xu
55
299
0
23 Oct 2020
Generative Neurosymbolic Machines
Generative Neurosymbolic Machines
Jindong Jiang
Sungjin Ahn
BDL
OCL
211
68
0
23 Oct 2020
Graph Geometry Interaction Learning
Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Jia Wu
Yanan Cao
Bin Wang
56
90
0
23 Oct 2020
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D
  Dense Shape Correspondence
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence
Hao Huang
Lingjing Wang
Xiang Li
Yi Fang
3DPC
10
0
0
21 Oct 2020
On the Global Self-attention Mechanism for Graph Convolutional Networks
On the Global Self-attention Mechanism for Graph Convolutional Networks
Chen Wang
Chengyuan Deng
GNN
16
4
0
21 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep
  Learning through Adversarial Robustness
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
19
48
0
19 Oct 2020
Neural Architecture Performance Prediction Using Graph Neural Networks
Neural Architecture Performance Prediction Using Graph Neural Networks
Jovita Lukasik
David Friede
Heiner Stuckenschmidt
M. Keuper
GNN
AI4CE
28
10
0
19 Oct 2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale
  Graphs
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
Da Zheng
Chao Ma
Minjie Wang
Jinjing Zhou
Qidong Su
Xiang Song
Quan Gan
Zheng-Wei Zhang
George Karypis
FedML
GNN
14
241
0
11 Oct 2020
Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph
  Neural Networks
Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks
Douglas De Rizzo Meneghetti
Reinaldo A. C. Bianchi
14
9
0
28 Sep 2020
Answering Any-hop Open-domain Questions with Iterative Document
  Reranking
Answering Any-hop Open-domain Questions with Iterative Document Reranking
Ping Nie
Yuyu Zhang
Arun Ramamurthy
Le Song
23
20
0
16 Sep 2020
The Hardware Lottery
The Hardware Lottery
Sara Hooker
25
202
0
14 Sep 2020
A Toolkit to Generate Social Navigation Datasets
A Toolkit to Generate Social Navigation Datasets
Rishabh Baghel
Aditya Kapoor
P. Bachiller
Ronit R. Jorvekar
Daniel Rodriguez-Criado
Luis J. Manso
14
9
0
11 Sep 2020
Masked Label Prediction: Unified Message Passing Model for
  Semi-Supervised Classification
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Yunsheng Shi
Zhengjie Huang
Shikun Feng
Hui Zhong
Wenjin Wang
Yu Sun
AI4CE
25
738
0
08 Sep 2020
Learning from Protein Structure with Geometric Vector Perceptrons
Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing
Stephan Eismann
Patricia Suriana
Raphael J. L. Townshend
R. Dror
GNN
3DV
9
469
0
03 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for
  Graph Representation Learning
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Pan Li
Yanbang Wang
Hongwei Wang
J. Leskovec
GNN
15
12
0
31 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
8
75
0
19 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
20
56
0
05 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
19
152
0
31 Jul 2020
Deep Learning for Abstract Argumentation Semantics
Deep Learning for Abstract Argumentation Semantics
Dennis Craandijk
Floris Bex
SSeg
13
30
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
14
14
0
13 Jul 2020
Learning to plan with uncertain topological maps
Learning to plan with uncertain topological maps
E. Beeching
J. Dibangoye
Olivier Simonin
Christian Wolf
13
40
0
10 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
18
162
0
09 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDL
CLL
13
36
0
09 Jul 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J. Qiu
Qibin Chen
Yuxiao Dong
Jing Zhang
Hongxia Yang
Ming Ding
Kuansan Wang
Jie Tang
SSL
9
930
0
17 Jun 2020
Neural Anisotropy Directions
Neural Anisotropy Directions
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
13
16
0
17 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
23
702
0
14 Jun 2020
Global Attention Improves Graph Networks Generalization
Global Attention Improves Graph Networks Generalization
Omri Puny
Heli Ben-Hamu
Y. Lipman
14
22
0
14 Jun 2020
Bandit Samplers for Training Graph Neural Networks
Bandit Samplers for Training Graph Neural Networks
Ziqi Liu
Zhengwei Wu
Zhiqiang Zhang
Jun Zhou
Shuang Yang
Le Song
Yuan Qi
23
47
0
10 Jun 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Thomas W. Anthony
Tom Eccles
Andrea Tacchetti
János Kramár
I. Gemp
...
Richard Everett
Roman Werpachowski
Satinder Singh
T. Graepel
Yoram Bachrach
11
42
0
08 Jun 2020
How hard is to distinguish graphs with graph neural networks?
How hard is to distinguish graphs with graph neural networks?
Andreas Loukas
GNN
12
6
0
13 May 2020
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and
  Trajectory Prediction
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction
Zhishuai Zhang
Jiyang Gao
Junhua Mao
Yukai Liu
Dragomir Anguelov
Congcong Li
3DPC
3DH
19
59
0
08 May 2020
Adversarial Attacks and Defenses: An Interpretation Perspective
Adversarial Attacks and Defenses: An Interpretation Perspective
Ninghao Liu
Mengnan Du
Ruocheng Guo
Huan Liu
Xia Hu
AAML
12
8
0
23 Apr 2020
Principal Neighbourhood Aggregation for Graph Nets
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lió
Petar Velickovic
GNN
13
648
0
12 Apr 2020
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
Zhibin Lu
Pan Du
J. Nie
21
125
0
12 Apr 2020
Autonomous discovery in the chemical sciences part II: Outlook
Autonomous discovery in the chemical sciences part II: Outlook
Connor W. Coley
Natalie S. Eyke
K. Jensen
21
171
0
30 Mar 2020
Incorporating Relational Background Knowledge into Reinforcement
  Learning via Differentiable Inductive Logic Programming
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming
Ali Payani
Faramarz Fekri
19
18
0
23 Mar 2020
Unbiased Scene Graph Generation from Biased Training
Unbiased Scene Graph Generation from Biased Training
Kaihua Tang
Yulei Niu
Jianqiang Huang
Jiaxin Shi
Hanwang Zhang
CML
17
680
0
27 Feb 2020
Learning to Simulate Complex Physics with Graph Networks
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez
Jonathan Godwin
Tobias Pfaff
Rex Ying
J. Leskovec
Peter W. Battaglia
PINN
AI4CE
13
1,039
0
21 Feb 2020
Molecule Attention Transformer
Molecule Attention Transformer
Lukasz Maziarka
Tomasz Danel
Slawomir Mucha
Krzysztof Rataj
Jacek Tabor
Stanislaw Jastrzebski
6
168
0
19 Feb 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
9
607
0
19 Feb 2020
An Overview of Distance and Similarity Functions for Structured Data
An Overview of Distance and Similarity Functions for Structured Data
Santiago Ontañón
11
83
0
18 Feb 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned
  Normalizing Flows
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
Kashif Rasul
Abdul-Saboor Sheikh
Ingmar Schuster
Urs M. Bergmann
Roland Vollgraf
BDL
AI4TS
AI4CE
14
179
0
14 Feb 2020
Machine Learning in Python: Main developments and technology trends in
  data science, machine learning, and artificial intelligence
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
11
482
0
12 Feb 2020
Time Series Alignment with Global Invariances
Time Series Alignment with Global Invariances
Titouan Vayer
R. Tavenard
Laetitia Chapel
Nicolas Courty
Rémi Flamary
Yann Soullard
AI4TS
12
16
0
10 Feb 2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories
MEMO: A Deep Network for Flexible Combination of Episodic Memories
Andrea Banino
Adria Puigdomenech Badia
Raphael Köster
Martin Chadwick
V. Zambaldi
Demis Hassabis
Caswell Barry
M. Botvinick
D. Kumaran
Charles Blundell
KELM
18
33
0
29 Jan 2020
Tensor Graph Convolutional Networks for Text Classification
Tensor Graph Convolutional Networks for Text Classification
Xien Liu
Xinxin You
Xiao Zhang
Ji Wu
Ping Lv
GNN
6
242
0
12 Jan 2020
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
A. Micheli
Marco Podda
AI4CE
GNN
32
276
0
29 Dec 2019
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