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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
Exact conservation laws for neural network integrators of dynamical
  systems
Exact conservation laws for neural network integrators of dynamical systems
E. Müller
PINN
110
14
0
23 Sep 2022
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural
  Network
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network
Ravinder Bhattoo
Sayan Ranu
N. M. A. Krishnan
AI4CE
97
18
0
23 Sep 2022
Lightweight Transformers for Human Activity Recognition on Mobile
  Devices
Lightweight Transformers for Human Activity Recognition on Mobile Devices
Sannara Ek
François Portet
P. Lalanda
83
32
0
22 Sep 2022
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review
Guixiang Ma
Vy A. Vo
Ted Willke
Nesreen Ahmed
74
1
0
22 Sep 2022
Approximating the full-field temperature evolution in 3D electronic
  systems from randomized "Minecraft" systems
Approximating the full-field temperature evolution in 3D electronic systems from randomized "Minecraft" systems
Monika Stipsitz
H. Sanchis-Alepuz
AI4CE
63
2
0
21 Sep 2022
Towards Real Time Thermal Simulations for Design Optimization using
  Graph Neural Networks
Towards Real Time Thermal Simulations for Design Optimization using Graph Neural Networks
H. Sanchis-Alepuz
Monika Stipsitz
AI4CE
66
5
0
21 Sep 2022
Neural Graph Databases
Neural Graph Databases
Maciej Besta
Patrick Iff
Florian Scheidl
Kazuki Osawa
Nikoli Dryden
Michal Podstawski
Tiancheng Chen
Torsten Hoefler
AI4CE
96
9
0
20 Sep 2022
Distributed representations of graphs for drug pair scoring
Distributed representations of graphs for drug pair scoring
P. Scherer
Pietro Lio
M. Jamnik
102
2
0
19 Sep 2022
Learning Pair Potentials using Differentiable Simulations
Learning Pair Potentials using Differentiable Simulations
Wujie Wang
Zhenghao Wu
Rafael Gómez-Bombarelli
82
26
0
16 Sep 2022
Earthquake Phase Association with Graph Neural Networks
Earthquake Phase Association with Graph Neural Networks
I. McBrearty
G. Beroza
64
43
0
15 Sep 2022
Predicting Drug-Drug Interactions using Deep Generative Models on Graphs
Predicting Drug-Drug Interactions using Deep Generative Models on Graphs
Nhat-Khang Ngô
Truong-Son Hy
Risi Kondor
BDLGNN
75
4
0
14 Sep 2022
Towards Better Generalization with Flexible Representation of
  Multi-Module Graph Neural Networks
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks
Hyungeun Lee
Kijung Yoon
AI4CE
69
2
0
14 Sep 2022
Scalable Spatiotemporal Graph Neural Networks
Scalable Spatiotemporal Graph Neural Networks
Andrea Cini
Ivan Marisca
F. Bianchi
Cesare Alippi
AI4TSAI4CE
96
57
0
14 Sep 2022
Graph Neural Networks for Molecules
Graph Neural Networks for Molecules
Yuyang Wang
Zijie Li
A. Farimani
GNNAI4CE
154
28
0
12 Sep 2022
Graph Neural Modeling of Network Flows
Graph Neural Modeling of Network Flows
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
GNN
53
4
0
12 Sep 2022
Continual Learning for Pose-Agnostic Object Recognition in 3D Point
  Clouds
Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds
Xihao Wang
Xian Wei
3DPC
118
5
0
11 Sep 2022
Multimodal learning with graphs
Multimodal learning with graphs
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
143
92
0
07 Sep 2022
Models and Benchmarks for Representation Learning of Partially Observed
  Subgraphs
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs
Dongkwan Kim
Jiho Jin
Jaimeen Ahn
Alice Oh
121
3
0
01 Sep 2022
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel
  Transformer Architectures
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures
Lars Odegaard Bentsen
N. Warakagoda
R. Stenbro
P. Engelstad
AI4TS
40
108
0
29 Aug 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A
  Review
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review
N. Botteghi
M. Poel
C. Brune
SSLOffRL
95
13
0
27 Aug 2022
Interaction Modeling with Multiplex Attention
Interaction Modeling with Multiplex Attention
Fan-Yun Sun
Isaac Kauvar
Ruohan Zhang
Jiachen Li
Mykel Kochenderfer
Jiajun Wu
Nick Haber
52
20
0
23 Aug 2022
MolGraph: a Python package for the implementation of molecular graphs
  and graph neural networks with TensorFlow and Keras
MolGraph: a Python package for the implementation of molecular graphs and graph neural networks with TensorFlow and Keras
Alexander Kensert
G. Desmet
D. Cabooter
36
6
0
21 Aug 2022
Intelligent problem-solving as integrated hierarchical reinforcement
  learning
Intelligent problem-solving as integrated hierarchical reinforcement learning
Manfred Eppe
Christian Gumbsch
Matthias Kerzel
Phuong D. H. Nguyen
Martin Volker Butz
S. Wermter
94
78
0
18 Aug 2022
Learning Efficient Abstract Planning Models that Choose What to Predict
Learning Efficient Abstract Planning Models that Choose What to Predict
Nishanth Kumar
Willie McClinton
Rohan Chitnis
Tom Silver
Tomás Lozano-Pérez
L. Kaelbling
127
20
0
16 Aug 2022
Deep convolutional surrogates and degrees of freedom in thermal design
Deep convolutional surrogates and degrees of freedom in thermal design
Hadi Keramati
F. Hamdullahpur
AI4CE
75
0
0
16 Aug 2022
ROLAND: Graph Learning Framework for Dynamic Graphs
ROLAND: Graph Learning Framework for Dynamic Graphs
Jiaxuan You
Tianyu Du
J. Leskovec
AI4CE
87
184
0
15 Aug 2022
Learning Point Processes using Recurrent Graph Network
Learning Point Processes using Recurrent Graph Network
Saurabh Dash
Xueyuan She
Saibal Mukhopadhyay
GNN
31
3
0
11 Aug 2022
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for
  Trajectory Prediction
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction
Jiachen Li
Chuanbo Hua
Jinkyoo Park
Hengbo Ma
Victoria M. Dax
Mykel J. Kochenderfer
78
8
0
10 Aug 2022
Neural Message Passing for Visual Relationship Detection
Neural Message Passing for Visual Relationship Detection
Yue Hu
Siheng Chen
Xu Chen
Ya Zhang
Xiao Gu
89
17
0
08 Aug 2022
Neural Set Function Extensions: Learning with Discrete Functions in High
  Dimensions
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
Nikolaos Karalias
Joshua Robinson
Andreas Loukas
Stefanie Jegelka
121
9
0
08 Aug 2022
PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network
Longxiang Jiang
Liyuan Wang
Xinkun Chu
Yonghao Xiao
Hao Zhang
AI4CE
62
14
0
07 Aug 2022
TPM: Transition Probability Matrix -- Graph Structural Feature based
  Embedding
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding
Sarmad N. Mohammed
Semra Gunducc
77
1
0
07 Aug 2022
Oversquashing in GNNs through the lens of information contraction and
  graph expansion
Oversquashing in GNNs through the lens of information contraction and graph expansion
P. Banerjee
Kedar Karhadkar
Yu Guang Wang
Uri Alon
Guido Montúfar
56
46
0
06 Aug 2022
Accelerating discrete dislocation dynamics simulations with graph neural
  networks
Accelerating discrete dislocation dynamics simulations with graph neural networks
N. Bertin
Fei Zhou
AI4CE
128
10
0
05 Aug 2022
Curvature-informed multi-task learning for graph networks
Curvature-informed multi-task learning for graph networks
Alexander New
M. Pekala
Nam Q. Le
Janna Domenico
C. Piatko
Christopher D. Stiles
50
4
0
02 Aug 2022
Learning Hyper Label Model for Programmatic Weak Supervision
Learning Hyper Label Model for Programmatic Weak Supervision
Renzhi Wu
Sheng Chen
Jieyu Zhang
Xu Chu
122
17
0
27 Jul 2022
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger
Cong Wang
Hongmin Xu
Xiong Zhang
Li Wang
Zhitong Zheng
Haifeng Liu
ViT
59
23
0
27 Jul 2022
An Urban Population Health Observatory for Disease Causal Pathway
  Analysis and Decision Support: Underlying Explainable Artificial Intelligence
  Model
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model
Whitney S. Brakefield
Nariman Ammar
A. Shaban-Nejad
63
9
0
26 Jul 2022
Thermodynamics of learning physical phenomena
Thermodynamics of learning physical phenomena
Elías Cueto
Francisco Chinesta
AI4CE
99
22
0
26 Jul 2022
Innovations in Neural Data-to-text Generation: A Survey
Innovations in Neural Data-to-text Generation: A Survey
Mandar Sharma
Ajay K. Gogineni
Naren Ramakrishnan
99
10
0
25 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from
  Insufficient Data
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data
Tan Wang
Qianru Sun
Sugiri Pranata
J. Karlekar
Hanwang Zhang
SSL
100
21
0
25 Jul 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent
  Memory
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory
Yuwei Hu
Jiajie Li
Zhongming Yu
Zhiru Zhang
GNN
72
0
0
25 Jul 2022
Learning an Adaptive Forwarding Strategy for Mobile Wireless Networks:
  Resource Usage vs. Latency
Learning an Adaptive Forwarding Strategy for Mobile Wireless Networks: Resource Usage vs. Latency
Victoria Manfredi
Alicia P. Wolfe
X. Zhang
Bing Wang
58
2
0
23 Jul 2022
Is an Object-Centric Video Representation Beneficial for Transfer?
Is an Object-Centric Video Representation Beneficial for Transfer?
Chuhan Zhang
Ankush Gupta
Andrew Zisserman
ViT
140
27
0
20 Jul 2022
Densely Constrained Depth Estimator for Monocular 3D Object Detection
Densely Constrained Depth Estimator for Monocular 3D Object Detection
Yingyan Li
Yun-Chun Chen
Jiawei He
Zhaoxiang Zhang
3DPCMDE
110
33
0
20 Jul 2022
Learning Counterfactually Invariant Predictors
Learning Counterfactually Invariant Predictors
Francesco Quinzan
Cecilia Casolo
Krikamol Muandet
Yucen Luo
Niki Kilbertus
118
10
0
20 Jul 2022
Semantic Novelty Detection via Relational Reasoning
Semantic Novelty Detection via Relational Reasoning
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
75
4
0
18 Jul 2022
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard
  Environment
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment
Zeyi Liu
Zhenjia Xu
Shuran Song
88
2
0
17 Jul 2022
Meta-Referential Games to Learn Compositional Learning Behaviours
Meta-Referential Games to Learn Compositional Learning Behaviours
Kevin Denamganai
S. Missaoui
James Alfred Walker
62
1
0
16 Jul 2022
Multi-Object Tracking and Segmentation via Neural Message Passing
Multi-Object Tracking and Segmentation via Neural Message Passing
Guillem Brasó
Orcun Cetintas
Laura Leal-Taixe
VOT
103
24
0
15 Jul 2022
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