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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 / 1,584 papers shown
Title
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
20
3
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
31
75
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
32
18
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
36
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
18
164
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
6
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
36
7
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
44
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
37
8
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
20
12
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
26
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
21
44
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
26
9
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
25
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
26
16
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
20
20
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
16
9
0
26 Jul 2022
Thermodynamics of learning physical phenomena
Thermodynamics of learning physical phenomena
Elías Cueto
Francisco Chinesta
AI4CE
25
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
32
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
39
19
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
39
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
41
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
37
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
3DPC
MDE
29
32
0
20 Jul 2022
Learning Counterfactually Invariant Predictors
Learning Counterfactually Invariant Predictors
Francesco Quinzan
Cecilia Casolo
Krikamol Muandet
Yucen Luo
Niki Kilbertus
36
8
0
20 Jul 2022
Semantic Novelty Detection via Relational Reasoning
Semantic Novelty Detection via Relational Reasoning
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
17
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
35
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
27
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
36
21
0
15 Jul 2022
Virtual stain transfer in histology via cascaded deep neural networks
Virtual stain transfer in histology via cascaded deep neural networks
Xilin Yang
Bijie Bai
Yijie Zhang
Yuzhu Li
Kevin de Haan
Tairan Liu
Aydogan Ozcan
MedIm
25
28
0
14 Jul 2022
Neural Topological Ordering for Computation Graphs
Neural Topological Ordering for Computation Graphs
Mukul Gagrani
Corrado Rainone
Yang Yang
Harris Teague
Wonseok Jeon
H. V. Hoof
Weizhen Zeng
P. Zappi
Chris Lott
Roberto Bondesan
40
12
0
13 Jul 2022
Tuning the Geometry of Graph Neural Networks
Tuning the Geometry of Graph Neural Networks
Sowon Jeong
Claire Donnat
AI4CE
48
1
0
12 Jul 2022
Video Graph Transformer for Video Question Answering
Video Graph Transformer for Video Question Answering
Junbin Xiao
Pan Zhou
Tat-Seng Chua
Shuicheng Yan
ViT
159
75
0
12 Jul 2022
The Cosmic Graph: Optimal Information Extraction from Large-Scale
  Structure using Catalogues
The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
T. Lucas Makinen
Tom Charnock
Pablo Lemos
Natalia Porqueres
A. Heavens
Benjamin Dan Wandelt
22
26
0
11 Jul 2022
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
Christopher Agia
Krishna Murthy Jatavallabhula
M. Khodeir
O. Mikšík
Vibhav Vineet
Mustafa Mukadam
Liam Paull
Florian Shkurti
27
68
0
11 Jul 2022
Hidden Schema Networks
Hidden Schema Networks
Ramses J. Sanchez
L. Conrads
Pascal Welke
K. Cvejoski
C. Ojeda
NAI
MILM
19
3
0
08 Jul 2022
TF-GNN: Graph Neural Networks in TensorFlow
TF-GNN: Graph Neural Networks in TensorFlow
Oleksandr Ferludin
Arno Eigenwillig
Martin J. Blais
Dustin Zelle
Jan Pfeifer
...
Anton Tsitsulin
Kevin Villela
Lisa Wang
David Wong
Bryan Perozzi
GNN
18
35
0
07 Jul 2022
Transformers discover an elementary calculation system exploiting local
  attention and grid-like problem representation
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation
Samuel Cognolato
Alberto Testolin
42
7
0
06 Jul 2022
Neural Networks and the Chomsky Hierarchy
Neural Networks and the Chomsky Hierarchy
Grégoire Delétang
Anian Ruoss
Jordi Grau-Moya
Tim Genewein
L. Wenliang
...
Chris Cundy
Marcus Hutter
Shane Legg
Joel Veness
Pedro A. Ortega
UQCV
107
131
0
05 Jul 2022
Disentangled Action Recognition with Knowledge Bases
Disentangled Action Recognition with Knowledge Bases
Zhekun Luo
Shalini Ghosh
Devin Guillory
Keizo Kato
Trevor Darrell
Huijuan Xu
21
7
0
04 Jul 2022
A Graph Isomorphism Network with Weighted Multiple Aggregators for
  Speech Emotion Recognition
A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition
Ying Hu
Yu Tang
Hao-Ming Huang
Liang He
36
5
0
03 Jul 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization
  and Sampling Complexity
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
Jianyi Yang
Shaolei Ren
32
3
0
02 Jul 2022
Graph-Time Convolutional Neural Networks: Architecture and Theoretical
  Analysis
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis
Mohammad Sabbaqi
Elvin Isufi
GNN
AI4TS
43
14
0
30 Jun 2022
Reliable Representations Make A Stronger Defender: Unsupervised
  Structure Refinement for Robust GNN
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN
Kuan Li
Yang Liu
Xiang Ao
Jianfeng Chi
Jinghua Feng
Hao Yang
Qing He
AAML
46
64
0
30 Jun 2022
Modeling Teams Performance Using Deep Representational Learning on
  Graphs
Modeling Teams Performance Using Deep Representational Learning on Graphs
Francesco Carli
Pietro Foini
N. Gozzi
N. Perra
Rossano Schifanella
GNN
33
0
0
29 Jun 2022
RetroGraph: Retrosynthetic Planning with Graph Search
RetroGraph: Retrosynthetic Planning with Graph Search
Shufang Xie
Rui Yan
Penghao Han
Yingce Xia
Lijun Wu
Chenjuan Guo
Bin Yang
Tao Qin
30
30
0
23 Jun 2022
Curious Exploration via Structured World Models Yields Zero-Shot Object
  Manipulation
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
Cansu Sancaktar
Sebastian Blaes
Georg Martius
LM&Ro
23
24
0
22 Jun 2022
Agent-based Graph Neural Networks
Agent-based Graph Neural Networks
Karolis Martinkus
Pál András Papp
Benedikt Schesch
Roger Wattenhofer
LLMAG
GNN
39
17
0
22 Jun 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
Yi Qin
Ziwei Zhang
Xin Wang
Zeyang Zhang
Wenwu Zhu
29
26
0
18 Jun 2022
Fast Simulation of Particulate Suspensions Enabled by Graph Neural
  Network
Fast Simulation of Particulate Suspensions Enabled by Graph Neural Network
Zhan Ma
Zisheng Ye
Wenxiao Pan
34
14
0
17 Jun 2022
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