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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 / 1,583 papers shown
Title
Anticipatory Planning: Improving Long-Lived Planning by Estimating
  Expected Cost of Future Tasks
Anticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks
Roshan Dhakal
Md Ridwan Hossain Talukder
Gregory J. Stein
11
3
0
08 May 2023
LSGNN: Towards General Graph Neural Network in Node Classification by
  Local Similarity
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
Yuhan Chen
Yihong Luo
Jing Tang
Liang Yang
Si-Huang Qiu
Chuan Wang
Xiaochun Cao
21
16
0
07 May 2023
Materials Informatics: An Algorithmic Design Rule
Materials Informatics: An Algorithmic Design Rule
B. Bishnoi
14
0
0
05 May 2023
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation
  Learning
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning
E. Lee
Joyce C. Ho
29
2
0
04 May 2023
Transforming Visual Scene Graphs to Image Captions
Transforming Visual Scene Graphs to Image Captions
Xu Yang
Jiawei Peng
Zihua Wang
Haiyang Xu
Qinghao Ye
Chenliang Li
Mingshi Yan
Feisi Huang
Zhangzikang Li
Yu Zhang
49
19
0
03 May 2023
Towards Invertible Semantic-Preserving Embeddings of Logical Formulae
Towards Invertible Semantic-Preserving Embeddings of Logical Formulae
Gaia Saveri
Luca Bortolussi
NAI
46
3
0
03 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of
  Interacting Dynamical Systems
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
BDL
33
6
0
02 May 2023
Learning Graph Neural Networks using Exact Compression
Learning Graph Neural Networks using Exact Compression
Jeroen Bollen
Jasper Steegmans
Jan Van den Bussche
Stijn Vansummeren
GNN
AI4CE
14
6
0
28 Apr 2023
Visual Referential Games Further the Emergence of Disentangled
  Representations
Visual Referential Games Further the Emergence of Disentangled Representations
Kevin Denamganai
S. Missaoui
James Alfred Walker
OCL
CoGe
16
4
0
27 Apr 2023
Learning to Extrapolate: A Transductive Approach
Learning to Extrapolate: A Transductive Approach
Aviv Netanyahu
Abhishek Gupta
Max Simchowitz
Kaipeng Zhang
Pulkit Agrawal
49
15
0
27 Apr 2023
Exploiting Inductive Bias in Transformer for Point Cloud Classification
  and Segmentation
Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation
Zihao Li
Pan Gao
Hui Yuan
Ran Wei
M. Paul
3DPC
ViT
27
6
0
27 Apr 2023
When Do Graph Neural Networks Help with Node Classification?
  Investigating the Impact of Homophily Principle on Node Distinguishability
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
Sitao Luan
Chenqing Hua
Minkai Xu
Qincheng Lu
Jiaqi Zhu
Xiaoming Chang
Jie Fu
J. Leskovec
Doina Precup
44
3
0
25 Apr 2023
Graph Neural Networks for Text Classification: A Survey
Graph Neural Networks for Text Classification: A Survey
Kunze Wang
Yihao Ding
S. Han
FaML
GNN
28
25
0
23 Apr 2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive
  Physics under Challenging Scenes
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
Haotian Xue
Antonio Torralba
J. Tenenbaum
Daniel L. K. Yamins
Yunzhu Li
H. Tung
PINN
VGen
AI4CE
61
8
0
22 Apr 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential
  Decision Making
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making
Carlos Núnez-Molina
Pablo Mesejo
Juan Fernández-Olivares
30
3
0
20 Apr 2023
Neurosymbolic Models for Computer Graphics
Neurosymbolic Models for Computer Graphics
Daniel E. Ritchie
Paul Guerrero
R. K. Jones
Niloy J. Mitra
Adriana Schulz
Karl D. D. Willis
Jiajun Wu
3DV
25
31
0
20 Apr 2023
Beyond Transformers for Function Learning
Beyond Transformers for Function Learning
Simon N. Segert
Jonathan D. Cohen
17
0
0
19 Apr 2023
SViTT: Temporal Learning of Sparse Video-Text Transformers
SViTT: Temporal Learning of Sparse Video-Text Transformers
Yi Li
Kyle Min
Subarna Tripathi
Nuno Vasconcelos
28
12
0
18 Apr 2023
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust
  Autonomous Perception and Scenario Understanding
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding
Junyao Wang
Arnav V. Malawade
Junhong Zhou
Shi Yu
Mohammad Abdullah Al Faruque
27
10
0
17 Apr 2023
EEGSN: Towards Efficient Low-latency Decoding of EEG with Graph Spiking Neural Networks
Xi Chen
Siwei Mai
Konstantinos Michmizos
GNN
19
0
0
15 Apr 2023
Learning to Communicate and Collaborate in a Competitive Multi-Agent
  Setup to Clean the Ocean from Macroplastics
Learning to Communicate and Collaborate in a Competitive Multi-Agent Setup to Clean the Ocean from Macroplastics
P. D. Siedler
AI4CE
17
0
0
12 Apr 2023
Feudal Graph Reinforcement Learning
Feudal Graph Reinforcement Learning
Tommaso Marzi
Arshjot Khehra
Andrea Cini
Cesare Alippi
24
0
0
11 Apr 2023
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph
  Neural Networks
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks
George Watkins
Giovanni Montana
Juergen Branke
GNN
24
4
0
08 Apr 2023
Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction
  Modeling for Neural Graph Forgetting Knowledge Tracing
Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge Tracing
Linqing Li
Zhifeng Wang
24
11
0
08 Apr 2023
A new perspective on building efficient and expressive 3D equivariant
  graph neural networks
A new perspective on building efficient and expressive 3D equivariant graph neural networks
Weitao Du
Yuanqi Du
Limei Wang
Dieqiao Feng
Guifeng Wang
Shuiwang Ji
Carla P. Gomes
Zhixin Ma
AI4CE
32
33
0
07 Apr 2023
NMR shift prediction from small data quantities
NMR shift prediction from small data quantities
Herman Rull
Markus Fischer
S. Kuhn
11
10
0
06 Apr 2023
Inductive biases in deep learning models for weather prediction
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
43
6
0
06 Apr 2023
Swarm Reinforcement Learning For Adaptive Mesh Refinement
Swarm Reinforcement Learning For Adaptive Mesh Refinement
Niklas Freymuth
Philipp Dahlinger
Tobias Würth
Simon Reisch
Luise Kärger
Gerhard Neumann
29
13
0
03 Apr 2023
Abstractors and relational cross-attention: An inductive bias for
  explicit relational reasoning in Transformers
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
Awni Altabaa
Taylor Webb
Jonathan D. Cohen
John Lafferty
30
8
0
01 Apr 2023
E($3$) Equivariant Graph Neural Networks for Particle-Based Fluid
  Mechanics
E(333) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics
Artur P. Toshev
Gianluca Galletti
Johannes Brandstetter
Stefan Adami
Nikolaus A. Adams
22
5
0
31 Mar 2023
On the Relationships between Graph Neural Networks for the Simulation of
  Physical Systems and Classical Numerical Methods
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods
Artur P. Toshev
Ludger Paehler
A. Panizza
Nikolaus A. Adams
AI4CE
PINN
19
5
0
31 Mar 2023
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic
  Engineering
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering
Guillermo Bernárdez
José Suárez-Varela
Albert Lopez
Xiang Shi
Shihan Xiao
Xiangle Cheng
Pere Barlet-Ros
A. Cabellos-Aparicio
33
24
0
31 Mar 2023
Multi-modal learning for geospatial vegetation forecasting
Multi-modal learning for geospatial vegetation forecasting
V. Benson
Claire Robin
C. Requena-Mesa
Lazaro Alonso
Nuno Carvalhais
José A. Cortés
Zhihan Gao
Nora Linscheid
M. Weynants
Markus Reichstein
30
11
0
28 Mar 2023
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets
Isabella Huang
Yashraj S. Narang
R. Bajcsy
Fabio Ramos
Tucker Hermans
Dieter Fox
20
10
0
28 Mar 2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph
  Databases
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Hongyu Ren
Mikhail Galkin
Michael Cochez
Zhaocheng Zhu
J. Leskovec
NAI
GNN
41
35
0
26 Mar 2023
Informed Machine Learning, Centrality, CNN, Relevant Document Detection,
  Repatriation of Indigenous Human Remains
Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains
M. A. Bashar
R. Nayak
G. Knapman
Paul Turnbull
C. Fforde
37
1
0
25 Mar 2023
Topological Reconstruction of Particle Physics Processes using Graph
  Neural Networks
Topological Reconstruction of Particle Physics Processes using Graph Neural Networks
Lukas Ehrke
J. A. Raine
K. Zoch
M. Guth
T. Golling
BDL
AI4CE
24
10
0
24 Mar 2023
Boosting Convolution with Efficient MLP-Permutation for Volumetric
  Medical Image Segmentation
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
Yi-Mou Lin
Xiaori Fang
Dong-Ming Zhang
Kwang-Ting Cheng
Hao Chen
MedIm
26
3
0
23 Mar 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified
  Library
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
Le Yu
Leilei Sun
Bowen Du
Weifeng Lv
AI4CE
29
98
0
23 Mar 2023
Understanding Expressivity of GNN in Rule Learning
Understanding Expressivity of GNN in Rule Learning
Haiquan Qiu
Yongqi Zhang
Yong Li
Quanming Yao
AI4CE
27
5
0
22 Mar 2023
Neural Constraint Satisfaction: Hierarchical Abstraction for
  Combinatorial Generalization in Object Rearrangement
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Michael Chang
Alyssa Dayan
Franziska Meier
Thomas L. Griffiths
Sergey Levine
Amy Zhang
OCL
OffRL
27
9
0
20 Mar 2023
Tangent Bundle Convolutional Learning: from Manifolds to Cellular
  Sheaves and Back
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back
Claudio Battiloro
Zhiyang Wang
Hans Riess
P. Di Lorenzo
Alejandro Ribeiro
33
9
0
20 Mar 2023
Predicting Density of States via Multi-modal Transformer
Predicting Density of States via Multi-modal Transformer
Namkyeong Lee
Heewoong Noh
Sungwon Kim
Dongmin Hyun
Gyoung S. Na
Chanyoung Park
18
3
0
13 Mar 2023
Informative regularization for a multi-layer perceptron RR Lyrae
  classifier under data shift
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift
Francisco Pérez-Galarce
K. Pichara
P. Huijse
M. Catelán
D. Méry
28
0
0
12 Mar 2023
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules
Samuel Goldman
John Bradshaw
Jiayi Xin
Connor W. Coley
27
13
0
11 Mar 2023
Graph Neural Network contextual embedding for Deep Learning on Tabular
  Data
Graph Neural Network contextual embedding for Deep Learning on Tabular Data
Mario Villaizán-Vallelado
Matteo Salvatori
B. Carro
Antonio J. Sánchez-Esguevillas
AI4CE
LMTD
30
14
0
11 Mar 2023
Neural Partial Differential Equations with Functional Convolution
Neural Partial Differential Equations with Functional Convolution
Z. Wu
Xingzhe He
Yijun Li
Cheng Yang
Rui Liu
S. Xiong
Bo Zhu
23
1
0
10 Mar 2023
PDSketch: Integrated Planning Domain Programming and Learning
PDSketch: Integrated Planning Domain Programming and Learning
Jiayuan Mao
Tomás Lozano-Pérez
J. Tenenbaum
L. Kaelbling
31
3
0
09 Mar 2023
On the Expressiveness and Generalization of Hypergraph Neural Networks
On the Expressiveness and Generalization of Hypergraph Neural Networks
Zhezheng Luo
Jiayuan Mao
J. Tenenbaum
L. Kaelbling
NAI
AI4CE
28
5
0
09 Mar 2023
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
Matthew Leigh
Debasish Sengupta
Guillaume Quétant
J. A. Raine
K. Zoch
T. Golling
DiffM
32
46
0
09 Mar 2023
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