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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
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message
  Passing
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
Jung Yeon Park
Lawson L. S. Wong
Robin Walters
AI4CE
72
0
0
30 Oct 2023
Self Attention with Temporal Prior: Can We Learn More from Arrow of
  Time?
Self Attention with Temporal Prior: Can We Learn More from Arrow of Time?
Kyung Geun Kim
Byeong Tak Lee
AI4TS
44
0
0
29 Oct 2023
Towards Combinatorial Generalization for Catalysts: A Kohn-Sham
  Charge-Density Approach
Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach
Phillip Pope
David Jacobs
59
3
0
28 Oct 2023
ViCLEVR: A Visual Reasoning Dataset and Hybrid Multimodal Fusion Model
  for Visual Question Answering in Vietnamese
ViCLEVR: A Visual Reasoning Dataset and Hybrid Multimodal Fusion Model for Visual Question Answering in Vietnamese
Khiem Vinh Tran
Hao Phu Phan
Kiet Van Nguyen
Ngan Luu-Thuy Nguyen
49
7
0
27 Oct 2023
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer
Shuai Zheng
Zhizhe Liu
Zhenfeng Zhu
Xingxing Zhang
Jianxin Li
Yao-Min Zhao
71
0
0
26 Oct 2023
Density of States Prediction of Crystalline Materials via Prompt-guided
  Multi-Modal Transformer
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
Namkyeong Lee
Heewoong Noh
Sungwon Kim
Dongmin Hyun
Gyoung S. Na
Chanyoung Park
54
6
0
24 Oct 2023
Graph Deep Learning for Time Series Forecasting
Graph Deep Learning for Time Series Forecasting
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TSAI4CE
124
16
0
24 Oct 2023
Graph Neural Networks and Applied Linear Algebra
Graph Neural Networks and Applied Linear Algebra
Nicholas S. Moore
Eric C. Cyr
Peter Ohm
C. Siefert
R. Tuminaro
71
4
0
21 Oct 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective
  Spectrum Perturbation
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation
Kaiqi Yang
Haoyu Han
Wei Jin
Hui Liu
64
2
0
20 Oct 2023
Physics-Informed Graph Convolutional Networks: Towards a generalized
  framework for complex geometries
Physics-Informed Graph Convolutional Networks: Towards a generalized framework for complex geometries
M. Chenaud
José Alves
Frédéric Magoulès
AI4CEPINN
95
1
0
20 Oct 2023
Agri-GNN: A Novel Genotypic-Topological Graph Neural Network Framework
  Built on GraphSAGE for Optimized Yield Prediction
Agri-GNN: A Novel Genotypic-Topological Graph Neural Network Framework Built on GraphSAGE for Optimized Yield Prediction
Aditya Gupta
Asheesh Singh
53
6
0
19 Oct 2023
Building a Graph-based Deep Learning network model from captured traffic
  traces
Building a Graph-based Deep Learning network model from captured traffic traces
Carlos Güemes-Palau
Miquel Ferriol Galmés
A. Cabellos-Aparicio
Pere Barlet-Ros
GNN
82
2
0
18 Oct 2023
Towards Inferring Users' Impressions of Robot Performance in Navigation
  Scenarios
Towards Inferring Users' Impressions of Robot Performance in Navigation Scenarios
Qiping Zhang
Deyuan Li
Booyeon Choi
Jie Tan
Hao-Tien Lewis Chiang
Nathan Tsoi
87
0
0
17 Oct 2023
Self-supervision meets kernel graph neural models: From architecture to
  augmentations
Self-supervision meets kernel graph neural models: From architecture to augmentations
Jiawang Dan
Ruofan Wu
Yunpeng Liu
Baokun Wang
Changhua Meng
...
Tianyi Zhang
Ningtao Wang
Xin Fu
Qi Li
Weiqiang Wang
SSL
78
1
0
17 Oct 2023
Equivariant Matrix Function Neural Networks
Equivariant Matrix Function Neural Networks
Ilyes Batatia
Lars L. Schaaf
Huajie Chen
Gábor Csányi
Christoph Ortner
Felix A. Faber
85
6
0
16 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart?
Does Graph Distillation See Like Vision Dataset Counterpart?
Beining Yang
Kai Wang
Qingyun Sun
Cheng Ji
Xingcheng Fu
Hao Tang
Yang You
Jianxin Li
DD
71
45
0
13 Oct 2023
Relational Prior Knowledge Graphs for Detection and Instance
  Segmentation
Relational Prior Knowledge Graphs for Detection and Instance Segmentation
Osman Ülger
Yu Wang
Ysbrand Galama
Sezer Karaoglu
Theo Gevers
Martin R. Oswald
122
1
0
11 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet
Erica Weng
Tomás Lozano Pérez
L. Kaelbling
135
57
0
10 Oct 2023
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for
  Traveling Salesman Problems
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems
Shiqing Liu
Xueming Yan
Yaochu Jin
106
8
0
10 Oct 2023
Nonlinear Correct and Smooth for Semi-Supervised Learning
Nonlinear Correct and Smooth for Semi-Supervised Learning
Yuanhang Shao
Xiuwen Liu
62
1
0
09 Oct 2023
Locality-Aware Generalizable Implicit Neural Representation
Locality-Aware Generalizable Implicit Neural Representation
Doyup Lee
Chiheon Kim
Minsu Cho
Wook-Shin Han
87
12
0
09 Oct 2023
Provable Compositional Generalization for Object-Centric Learning
Provable Compositional Generalization for Object-Centric Learning
Thaddäus Wiedemer
Jack Brady
Alexander Panfilov
Attila Juhos
Matthias Bethge
Wieland Brendel
OCL
93
22
0
09 Oct 2023
Towards Foundational Models for Molecular Learning on Large-Scale
  Multi-Task Datasets
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
Dominique Beaini
Shenyang Huang
Joao Alex Cunha
Zhiyi Li
Gabriela Moisescu-Pareja
...
Thérence Bois
Andrew Fitzgibbon
Bla.zej Banaszewski
Chad Martin
Dominic Masters
AI4CE
120
25
0
06 Oct 2023
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs
T. Lucas Makinen
Justin Alsing
Benjamin Dan Wandelt
GNNFedML
65
3
0
05 Oct 2023
Learning Hierarchical Relational Representations through Relational
  Convolutions
Learning Hierarchical Relational Representations through Relational Convolutions
Awni Altabaa
John Lafferty
57
2
0
05 Oct 2023
Inferring Inference
Inferring Inference
Rajkumar Vasudeva Raju
Zhe Li
Scott W. Linderman
Xaq Pitkow
85
1
0
04 Oct 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
Matthew Sainsbury-Dale
A. Zammit‐Mangion
J. Richards
Raphael Huser
670
15
0
04 Oct 2023
Locality-Aware Graph-Rewiring in GNNs
Locality-Aware Graph-Rewiring in GNNs
Federico Barbero
A. Velingker
Amin Saberi
Michael M. Bronstein
Francesco Di Giovanni
106
33
0
02 Oct 2023
Algebras of actions in an agent's representations of the world
Algebras of actions in an agent's representations of the world
Alexander Dean
Eduardo Alonso
Esther Mondragón
58
0
0
02 Oct 2023
The Optimal use of Segmentation for Sampling Calorimeters
The Optimal use of Segmentation for Sampling Calorimeters
Fernando Torales Acosta
Bishnu Karki
P. Karande
Aaron Angerami
M. Arratia
K. Barish
R. Milton
Sebastián Morán
Benjamin Nachman
Anshuman Sinha
74
6
0
02 Oct 2023
A Unified View on Neural Message Passing with Opinion Dynamics for
  Social Networks
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks
Outongyi Lv
Bingxin Zhou
Jing Wang
Xiang Xiao
Weishu Zhao
Lirong Zheng
69
1
0
02 Oct 2023
Modularity in Deep Learning: A Survey
Modularity in Deep Learning: A Survey
Haozhe Sun
Isabelle Guyon
MoMe
102
3
0
02 Oct 2023
GNRK: Graph Neural Runge-Kutta method for solving partial differential
  equations
GNRK: Graph Neural Runge-Kutta method for solving partial differential equations
Hoyun Choi
Sungyeop Lee
B. Kahng
Junghyo Jo
AI4CE
108
1
0
01 Oct 2023
Learning State-Augmented Policies for Information Routing in
  Communication Networks
Learning State-Augmented Policies for Information Routing in Communication Networks
Sourajit Das
Navid Naderializadeh
Alejandro Ribeiro
88
2
0
30 Sep 2023
Reusability report: Prostate cancer stratification with diverse
  biologically-informed neural architectures
Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures
Christian Pedersen
Tiberiu Teşileanu
Tinghui Wu
Siavash Golkar
M. Cranmer
Zijun Zhang
Shirley Ho
21
0
0
28 Sep 2023
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Stefania Costantini
Gianluca Galletti
Fabian Fritz
Stefan Adami
Nikolaus A. Adams
114
15
0
28 Sep 2023
Residual Scheduling: A New Reinforcement Learning Approach to Solving
  Job Shop Scheduling Problem
Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem
Kuo-Hao Ho
Jui-Yu Cheng
Ji-Han Wu
Chiang Fan
Yen-Chi Chen
Yuan-Yu Wu
I-Chen Wu
59
13
0
27 Sep 2023
Deep Learning in Deterministic Computational Mechanics
Deep Learning in Deterministic Computational Mechanics
L. Herrmann
Stefan Kollmannsberger
AI4CEPINN
118
0
0
27 Sep 2023
Learning dislocation dynamics mobility laws from large-scale MD
  simulations
Learning dislocation dynamics mobility laws from large-scale MD simulations
N. Bertin
Vasily V. Bulatov
Fei Zhou
AI4CE
35
11
0
25 Sep 2023
Accelerating Particle and Fluid Simulations with Differentiable Graph
  Networks for Solving Forward and Inverse Problems
Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems
Krishna Kumar
Yonjin Choi
AI4CE
60
7
0
23 Sep 2023
Graph Neural Network for Stress Predictions in Stiffened Panels Under
  Uniform Loading
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading
Yuecheng Cai
J. Jelovica
AI4CE
56
0
0
22 Sep 2023
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning
Julian Minder
Florian Grötschla
Joël Mathys
Roger Wattenhofer
114
9
0
21 Sep 2023
Using deep learning to construct stochastic local search SAT solvers
  with performance bounds
Using deep learning to construct stochastic local search SAT solvers with performance bounds
Maximilian Kramer
Paul Boes
NAI
97
0
0
20 Sep 2023
Graph Neural Networks for Dynamic Modeling of Roller Bearing
Graph Neural Networks for Dynamic Modeling of Roller Bearing
Vinay Sharma
Jens Ravesloot
C. Taal
Olga Fink
AI4CE
73
0
0
19 Sep 2023
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction
Taylor Webb
Steven M. Frankland
Awni Altabaa
Simon N. Segert
Kamesh Krishnamurthy
...
Tyler Giallanza
Zack Dulberg
Randall O'Reilly
John Lafferty
Jonathan D. Cohen
85
31
0
12 Sep 2023
Advancing Parsimonious Deep Learning Weather Prediction using the
  HEALPix Mesh
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
Matthias Karlbauer
Nathaniel Cresswell-Clay
Dale Durran
Raul A Moreno
Thorsten Kurth
Boris Bonev
Noah D. Brenowitz
Martin Volker Butz
MDE
93
24
0
11 Sep 2023
Diffusion Generative Inverse Design
Diffusion Generative Inverse Design
Marin Vlastelica
Tatiana López-Guevara
Kelsey R. Allen
Peter Battaglia
Arnaud Doucet
Kimberley L. Stachenfeld
DiffM
57
1
0
05 Sep 2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and
  Re-occurrence Preservation
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation
Siwei Zhang
Yun Xiong
Yao Zhang
Xixi Wu
Yiheng Sun
Jiawei Zhang
AI4TS
71
4
0
05 Sep 2023
ExMobileViT: Lightweight Classifier Extension for Mobile Vision
  Transformer
ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer
Gyeongdong Yang
Yungwook Kwon
Hyunjin Kim
ViT
32
2
0
04 Sep 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Zong-Yi Li
Nikola B. Kovachki
Chris Choy
Boyi Li
Jean Kossaifi
...
M. A. Nabian
Maximilian Stadler
Christian Hundt
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
125
152
0
01 Sep 2023
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