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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
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision
  Prediction
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction
Arnav V. Malawade
S. Yu
Brandon Hsu
Deepan Muthirayan
Pramod P. Khargonekar
Mohammad Abdullah Al Faruque
76
59
0
11 Nov 2021
A Survey of Visual Transformers
A Survey of Visual Transformers
Yang Liu
Yao Zhang
Yixin Wang
Feng Hou
Jin Yuan
Jiang Tian
Yang Zhang
Zhongchao Shi
Jianping Fan
Zhiqiang He
3DGS
ViT
66
330
0
11 Nov 2021
Discovering Latent Representations of Relations for Interacting Systems
Discovering Latent Representations of Relations for Interacting Systems
Dohae Lee
Young-Jin Oh
In-Kwon Lee
BDL
11
1
0
10 Nov 2021
A Review of Location Encoding for GeoAI: Methods and Applications
A Review of Location Encoding for GeoAI: Methods and Applications
Gengchen Mai
K. Janowicz
Yingjie Hu
Song Gao
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
64
113
0
07 Nov 2021
Manipulation of Granular Materials by Learning Particle Interactions
Manipulation of Granular Materials by Learning Particle Interactions
Neea Tuomainen
David Blanco Mulero
Ville Kyrki
11
20
0
03 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical
  Systems
Constructing Neural Network-Based Models for Simulating Dynamical Systems
Christian Møldrup Legaard
Thomas Schranz
G. Schweiger
Ján Drgovna
Basak Falay
C. Gomes
Alexandros Iosifidis
M. Abkar
P. Larsen
PINN
AI4CE
20
91
0
02 Nov 2021
Learning Iterative Robust Transformation Synchronization
Learning Iterative Robust Transformation Synchronization
Zi Jian Yew
G. Lee
20
18
0
01 Nov 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement
  Learning
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
H. Chung
Jungtaek Kim
Boris Knyazev
Jinhwi Lee
Graham W. Taylor
Jaesik Park
Minsu Cho
SSL
OffRL
11
20
0
29 Oct 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and
  Strong Simple Methods
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Derek Lim
Felix Hohne
Xiuyu Li
Sijia Huang
Vaishnavi Gupta
Omkar Bhalerao
Ser-Nam Lim
27
336
0
27 Oct 2021
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic
  Segmentation using Patch-level Classification Labels
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels
Chu Han
Jiatai Lin
Jinhai Mai
Yi Wang
Qingling Zhang
...
Zeyan Xu
Xiaomei Huang
Guoqiang Han
Chang-xiu Liang
Zaiyi Liu
24
88
0
14 Oct 2021
Multi-Modal Interaction Graph Convolutional Network for Temporal
  Language Localization in Videos
Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos
Zongmeng Zhang
Xianjing Han
Xuemeng Song
Yan Yan
Liqiang Nie
33
36
0
12 Oct 2021
Understanding Pooling in Graph Neural Networks
Understanding Pooling in Graph Neural Networks
Daniele Grattarola
Daniele Zambon
F. Bianchi
C. Alippi
GNN
FAtt
AI4CE
22
88
0
11 Oct 2021
Improving Generalization of Deep Reinforcement Learning-based TSP
  Solvers
Improving Generalization of Deep Reinforcement Learning-based TSP Solvers
Wenbin Ouyang
Yisen Wang
Shaochen Han
Zhejian Jin
Paul Weng
LRM
14
11
0
06 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability
Top-N: Equivariant set and graph generation without exchangeability
Clément Vignac
P. Frossard
BDL
63
34
0
05 Oct 2021
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node
  Classification?
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
Sitao Luan
Chenqing Hua
Qincheng Lu
Jiaqi Zhu
Mingde Zhao
Shuyuan Zhang
Xiaoming Chang
Doina Precup
33
111
0
12 Sep 2021
Link Scheduling using Graph Neural Networks
Link Scheduling using Graph Neural Networks
Zhongyuan Zhao
Gunjan Verma
Chirag R. Rao
A. Swami
Santiago Segarra
GNN
14
33
0
12 Sep 2021
Capturing the objects of vision with neural networks
Capturing the objects of vision with neural networks
B. Peters
N. Kriegeskorte
OCL
18
56
0
07 Sep 2021
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole
  Detection: A Benchmark and Algorithms
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms
Rui Fan
Hengli Wang
Yuan Wang
Ming-Yu Liu
Ioannis Pitas
17
65
0
06 Sep 2021
Is Machine Learning Ready for Traffic Engineering Optimization?
Is Machine Learning Ready for Traffic Engineering Optimization?
Guillermo Bernárdez
José Suárez-Varela
Albert Lopez
Bo-Xi Wu
Shihan Xiao
Xiangle Cheng
Pere Barlet-Ros
A. Cabellos-Aparicio
25
46
0
03 Sep 2021
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
Arnav V. Malawade
S. Yu
Brandon Hsu
Harsimrat Kaeley
Anurag Karra
Mohammad Abdullah Al Faruque
GNN
21
26
0
02 Sep 2021
Room Classification on Floor Plan Graphs using Graph Neural Networks
Room Classification on Floor Plan Graphs using Graph Neural Networks
Abhishek Paudel
Roshan Dhakal
Sakshat Bhattarai
GNN
AI4CE
14
4
0
12 Aug 2021
Geometric Deep Learning on Molecular Representations
Geometric Deep Learning on Molecular Representations
Kenneth Atz
F. Grisoni
G. Schneider
AI4CE
22
285
0
26 Jul 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
28
1,103
0
07 Jul 2021
Discrete-Valued Neural Communication
Discrete-Valued Neural Communication
Dianbo Liu DianboLiu
Alex Lamb
Kenji Kawaguchi
Anirudh Goyal
Chen Sun
Michael C. Mozer
Yoshua Bengio
13
50
0
06 Jul 2021
A visual introduction to Gaussian Belief Propagation
A visual introduction to Gaussian Belief Propagation
Joseph Ortiz
Talfan Evans
Andrew J. Davison
4
32
0
05 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based
  Reinforcement Learning
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Nan Rosemary Ke
Aniket Didolkar
Sarthak Mittal
Anirudh Goyal
Guillaume Lajoie
Stefan Bauer
Danilo Jimenez Rezende
Yoshua Bengio
Michael C. Mozer
C. Pal
CML
11
54
0
02 Jul 2021
Quantitative Evaluation of Explainable Graph Neural Networks for
  Molecular Property Prediction
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction
Jiahua Rao
Shuangjia Zheng
Yuedong Yang
21
46
0
01 Jul 2021
RICE: Refining Instance Masks in Cluttered Environments with Graph
  Neural Networks
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
Christopher Xie
Arsalan Mousavian
Yu Xiang
D. Fox
8
19
0
29 Jun 2021
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and
  Self-supervised Pretraining
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining
Oriel Frigo
Rémy Brossard
David Dehaene
18
1
0
18 Jun 2021
Physion: Evaluating Physical Prediction from Vision in Humans and
  Machines
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
Daniel M. Bear
E. Wang
Damian Mrowca
Felix Binder
Hsiau-Yu Fish Tung
...
Li Fei-Fei
Nancy Kanwisher
J. Tenenbaum
Daniel L. K. Yamins
Judith E. Fan
OOD
39
86
0
15 Jun 2021
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond
Jonathan Godwin
Michael Schaarschmidt
Alex Gaunt
Alvaro Sanchez-Gonzalez
Yulia Rubanova
Petar Velivcković
J. Kirkpatrick
Peter W. Battaglia
28
60
0
15 Jun 2021
Direct Prediction of Steady-State Flow Fields in Meshed Domain with
  Graph Networks
Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks
Lukas Harsch
S. Riedelbauch
AI4CE
52
12
0
06 May 2021
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a
  Modular Graph Neural Network Architecture
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture
Ryan Kortvelesy
Amanda Prorok
27
23
0
24 Mar 2021
Sampling methods for efficient training of graph convolutional networks:
  A survey
Sampling methods for efficient training of graph convolutional networks: A survey
Xin Liu
Mingyu Yan
Lei Deng
Guoqi Li
Xiaochun Ye
Dongrui Fan
GNN
21
99
0
10 Mar 2021
Learning to Optimize DAG Scheduling in Heterogeneous Environment
Learning to Optimize DAG Scheduling in Heterogeneous Environment
Jinhong Luo
Yunfan Zhou
Xijun Li
Mingxuan Yuan
Jianguo Yao
Jia Zeng
18
17
0
09 Mar 2021
Size-Invariant Graph Representations for Graph Classification
  Extrapolations
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua
Yangze Zhou
Bruno Ribeiro
OOD
31
108
0
08 Mar 2021
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and
  Classification
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification
Julian Busch
Anton Kocheturov
Volker Tresp
Thomas Seidl
10
49
0
05 Mar 2021
Data-Driven Short-Term Voltage Stability Assessment Based on
  Spatial-Temporal Graph Convolutional Network
Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network
Yonghong Luo
Chao Lu
Lipeng Zhu
Jie Song
25
56
0
05 Mar 2021
Causal Attention for Vision-Language Tasks
Causal Attention for Vision-Language Tasks
Xu Yang
Hanwang Zhang
Guojun Qi
Jianfei Cai
CML
23
147
0
05 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
11
294
0
03 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Anirudh Goyal
Aniket Didolkar
Nan Rosemary Ke
Charles Blundell
Philippe Beaudoin
N. Heess
Michael C. Mozer
Yoshua Bengio
OCL
28
82
0
02 Mar 2021
Financial Crime & Fraud Detection Using Graph Computing: Application
  Considerations & Outlook
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook
Eren Kurshan
Honda Shen
Haojie Yu
GNN
FaML
30
25
0
02 Mar 2021
Graph-Time Convolutional Neural Networks
Graph-Time Convolutional Neural Networks
Elvin Isufi
Gabriele Mazzola
GNN
AI4TS
17
14
0
02 Mar 2021
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction
  and Tracking
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
Jiachen Li
Hengbo Ma
Zhihao Zhang
Jinning Li
M. Tomizuka
50
68
0
18 Feb 2021
Machine learning accelerated computational fluid dynamics
Machine learning accelerated computational fluid dynamics
Dmitrii Kochkov
Jamie A. Smith
Ayya Alieva
Qing Wang
M. Brenner
Stephan Hoyer
AI4CE
8
824
0
28 Jan 2021
Relational Deep Reinforcement Learning for Routing in Wireless Networks
Relational Deep Reinforcement Learning for Routing in Wireless Networks
Victoria Manfredi
Alicia P. Wolfe
Bing Wang
X. Zhang
8
7
0
31 Dec 2020
Solving Mixed Integer Programs Using Neural Networks
Solving Mixed Integer Programs Using Neural Networks
Vinod Nair
Sergey Bartunov
Felix Gimeno
Ingrid von Glehn
Pawel Lichocki
...
Pushmeet Kohli
Ira Ktena
Yujia Li
Oriol Vinyals
Yori Zwols
109
242
0
23 Dec 2020
A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring
  of Answer Transcriptions in Video Job Interviews
A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring of Answer Transcriptions in Video Job Interviews
Kai Chen
M. Niu
Qingcai Chen
16
5
0
22 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
23
113
0
16 Dec 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy
  Transfer
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer
Zohreh Raziei
Mohsen Moghaddam
8
24
0
27 Nov 2020
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