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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
A Finite Element-Inspired Hypergraph Neural Network: Application to
  Fluid Dynamics Simulations
A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
Rui Gao
Indu Kant Deo
R. Jaiman
AI4CE
31
19
0
30 Dec 2022
VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and
  Challenges
VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and Challenges
R. Zakari
Jim Wilson Owusu
Hailin Wang
Ke Qin
Zaharaddeen Karami Lawal
Yue-hong Dong
LRM
33
16
0
26 Dec 2022
GraphCast: Learning skillful medium-range global weather forecasting
GraphCast: Learning skillful medium-range global weather forecasting
Rémi R. Lam
Alvaro Sanchez-Gonzalez
Matthew Willson
Peter Wirnsberger
Meire Fortunato
...
Oriol Vinyals
Jacklynn Stott
Alexander Pritzel
S. Mohamed
Peter W. Battaglia
AI4Cl
23
276
0
24 Dec 2022
Relational Local Explanations
Relational Local Explanations
V. Borisov
Gjergji Kasneci
FAtt
22
0
0
23 Dec 2022
RouteNet-Fermi: Network Modeling with Graph Neural Networks
RouteNet-Fermi: Network Modeling with Graph Neural Networks
Miquel Ferriol Galmés
Jordi Paillissé
José Suárez-Varela
Krzysztof Rusek
Shihan Xiao
Xiang Shi
Xiangle Cheng
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
MoE
21
44
0
22 Dec 2022
Deep set conditioned latent representations for action recognition
Deep set conditioned latent representations for action recognition
Akash Singh
Tom De Schepper
Kevin Mets
P. Hellinckx
José Oramas
Steven Latré
BDL
19
2
0
21 Dec 2022
ImPaKT: A Dataset for Open-Schema Knowledge Base Construction
ImPaKT: A Dataset for Open-Schema Knowledge Base Construction
Luke Vilnis
Zachary Kenneth Fisher
Bhargav Kanagal
Patrick C. Murray
Sumit Sanghai
29
3
0
21 Dec 2022
Graph Neural Networks are Inherently Good Generalizers: Insights by
  Bridging GNNs and MLPs
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
Chenxiao Yang
Qitian Wu
Jiahua Wang
Junchi Yan
AI4CE
19
51
0
18 Dec 2022
Leave Graphs Alone: Addressing Over-Squashing without Rewiring
Leave Graphs Alone: Addressing Over-Squashing without Rewiring
Adam Santoro
Ashish Vaswani
24
11
0
13 Dec 2022
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers
  using Synthetic Scene Data
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data
Roei Herzig
Ofir Abramovich
Elad Ben-Avraham
Assaf Arbelle
Leonid Karlinsky
Ariel Shamir
Trevor Darrell
Amir Globerson
41
16
0
08 Dec 2022
Learning rigid dynamics with face interaction graph networks
Learning rigid dynamics with face interaction graph networks
Kelsey R. Allen
Yulia Rubanova
Tatiana López-Guevara
William F. Whitney
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
Tobias Pfaff
3DH
GNN
AI4CE
34
34
0
07 Dec 2022
Calibration and generalizability of probabilistic models on low-data
  chemical datasets with DIONYSUS
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS
Gary Tom
Riley J. Hickman
Aniket N. Zinzuwadia
A. Mohajeri
Benjamín Sánchez-Lengeling
A. Aspuru‐Guzik
21
16
0
03 Dec 2022
Gibbs-Helmholtz Graph Neural Network: capturing the temperature
  dependency of activity coefficients at infinite dilution
Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution
E. Medina
S. Linke
Martin Stoll
K. Sundmacher
38
11
0
02 Dec 2022
Convolution, aggregation and attention based deep neural networks for
  accelerating simulations in mechanics
Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics
Saurabh Deshpande
Raúl I. Sosa
Stéphane P. A. Bordas
J. Lengiewicz
AI4CE
36
18
0
01 Dec 2022
A Deep Learning Approach to the Prediction of Drug Side-Effects on
  Molecular Graphs
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs
P. Bongini
Elisa Messori
Niccolò Pancino
Monica Bianchini
GNN
OOD
23
2
0
30 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications,
  and Open Challenges
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaML
AI4TS
38
6
0
27 Nov 2022
Meta Architecture for Point Cloud Analysis
Meta Architecture for Point Cloud Analysis
Haojia Lin
Xiawu Zheng
Lijiang Li
Rongrong Ji
Sha Wang
Yan Wang
Yonghong Tian
Rongrong Ji
3DPC
33
45
0
26 Nov 2022
A generalized machine learning framework for brittle crack problems
  using transfer learning and graph neural networks
A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks
Roberto Perera
V. Agrawal
AI4CE
21
9
0
22 Nov 2022
A Short Survey of Systematic Generalization
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
43
1
0
22 Nov 2022
Learnable Graph Convolutional Attention Networks
Learnable Graph Convolutional Attention Networks
Adrián Javaloy
Pablo Sánchez-Martín
Amit Levi
Isabel Valera
GNN
24
10
0
21 Nov 2022
Teaching Structured Vision&Language Concepts to Vision&Language Models
Teaching Structured Vision&Language Concepts to Vision&Language Models
Sivan Doveh
Assaf Arbelle
Sivan Harary
Yikang Shen
Roei Herzig
...
Donghyun Kim
Raja Giryes
Rogerio Feris
S. Ullman
Leonid Karlinsky
VLM
CoGe
56
70
0
21 Nov 2022
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
Xichen Pan
Pengda Qin
Yuhong Li
Hui Xue
Wenhu Chen
DiffM
29
62
0
20 Nov 2022
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property
  Prediction
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction
Dominic Masters
Josef Dean
Kerstin Klaser
Zhiyi Li
Sam Maddrell-Mander
Adam Sanders
Hatem Helal
D. Beker
Ladislav Rampášek
Dominique Beaini
29
23
0
18 Nov 2022
GNS: A generalizable Graph Neural Network-based simulator for
  particulate and fluid modeling
GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling
Krishna Kumar
J. Vantassel
AI4CE
17
10
0
18 Nov 2022
Explainability Via Causal Self-Talk
Explainability Via Causal Self-Talk
Nicholas A. Roy
Junkyung Kim
Neil C. Rabinowitz
CML
26
7
0
17 Nov 2022
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical
  Image Segmentation
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation
Yiyue Hu
Lei Zhang
Nan Mu
Leijun Liu
ViT
MedIm
22
1
0
17 Nov 2022
ParticleGrid: Enabling Deep Learning using 3D Representation of
  Materials
ParticleGrid: Enabling Deep Learning using 3D Representation of Materials
Shehtab Zaman
E. Ferguson
Cécile Pereira
D. Akhiyarov
Mauricio Araya-Polo
Kenneth Chiu
DiffM
AI4CE
29
2
0
15 Nov 2022
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication
  for Autonomous Drone Reforestation
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation
P. D. Siedler
AI4CE
28
4
0
14 Nov 2022
Methods for Recovering Conditional Independence Graphs: A Survey
Methods for Recovering Conditional Independence Graphs: A Survey
H. Shrivastava
Urszula Chajewska
CML
22
11
0
13 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks
A Comprehensive Survey on Distributed Training of Graph Neural Networks
Haiyang Lin
Yurui Lai
Xiaochun Ye
Xiaochun Ye
Shirui Pan
Wenguang Chen
Yuan Xie
GNN
30
24
0
10 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph
  classification
Application of Graph Neural Networks and graph descriptors for graph classification
J. Adamczyk
FaML
39
5
0
07 Nov 2022
Characterizing the Efficiency of Graph Neural Network Frameworks with a
  Magnifying Glass
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass
Xin Huang
Jongryool Kim
Brad Rees
Chul-Ho Lee
GNN
29
4
0
06 Nov 2022
1-D Convolutional Graph Convolutional Networks for Fault Detection in
  Distributed Energy Systems
1-D Convolutional Graph Convolutional Networks for Fault Detection in Distributed Energy Systems
Bang L. H. Nguyen
T. Vu
Thai-Thanh Nguyen
M. Panwar
R. Hovsapian
22
3
0
05 Nov 2022
Port-metriplectic neural networks: thermodynamics-informed machine
  learning of complex physical systems
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
Quercus Hernandez
Alberto Badías
Francisco Chinesta
Elías Cueto
PINN
AI4CE
29
13
0
03 Nov 2022
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Jiachen Yang
K. Mittal
T. Dzanic
S. Petrides
B. Keith
Brenden K. Petersen
Daniel Faissol
R. Anderson
31
8
0
02 Nov 2022
Towards Better Out-of-Distribution Generalization of Neural Algorithmic
  Reasoning Tasks
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks
Sadegh Mahdavi
Kevin Swersky
Thomas Kipf
Milad Hashemi
Christos Thrampoulidis
Renjie Liao
LRM
OOD
NAI
49
25
0
01 Nov 2022
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous
  Graphs
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs
Marios Papachristou
Rishab Goel
Frank Portman
M. Miller
Rong Jin
21
0
0
01 Nov 2022
Distributed Graph Neural Network Training: A Survey
Distributed Graph Neural Network Training: A Survey
Yingxia Shao
Hongzheng Li
Xizhi Gu
Hongbo Yin
Yawen Li
Xupeng Miao
Wentao Zhang
Bin Cui
Lei Chen
GNN
AI4CE
11
56
0
01 Nov 2022
When Do We Need Graph Neural Networks for Node Classification?
When Do We Need Graph Neural Networks for Node Classification?
Sitao Luan
Chenqing Hua
Qincheng Lu
Jiaqi Zhu
Xiaoming Chang
Doina Precup
32
0
0
30 Oct 2022
A Comparative Study of Graph Neural Networks for Shape Classification in
  Neuroimaging
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging
N. Shehata
Wulfie Bain
Ben Glocker
52
2
0
29 Oct 2022
M3FGM:a node masking and multi-granularity message passing-based
  federated graph model for spatial-temporal data prediction
M3FGM:a node masking and multi-granularity message passing-based federated graph model for spatial-temporal data prediction
Yuxing Tian
Zheng Liu
Yanwen Qu
Song Li
Jiachi Luo
AI4CE
24
0
0
27 Oct 2022
Policy-Guided Lazy Search with Feedback for Task and Motion Planning
Policy-Guided Lazy Search with Feedback for Task and Motion Planning
M. Khodeir
Atharv Sonwane
Ruthrash Hari
Florian Shkurti
28
6
0
25 Oct 2022
$\texttt{Mangrove}$: Learning Galaxy Properties from Merger Trees
Mangrove\texttt{Mangrove}Mangrove: Learning Galaxy Properties from Merger Trees
C. K. Jespersen
M. Cranmer
Peter Melchior
S. Ho
R. Somerville
Austen Gabrielpillai
13
16
0
24 Oct 2022
Thermodynamics-informed neural networks for physically realistic mixed
  reality
Thermodynamics-informed neural networks for physically realistic mixed reality
Quercus Hernandez
Alberto Badías
Francisco Chinesta
Elías Cueto
PINN
AI4CE
22
16
0
24 Oct 2022
Lexical Generalization Improves with Larger Models and Longer Training
Lexical Generalization Improves with Larger Models and Longer Training
Elron Bandel
Yoav Goldberg
Yanai Elazar
64
6
0
23 Oct 2022
Learning Feasibility of Factored Nonlinear Programs in Robotic
  Manipulation Planning
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning
Joaquim Ortiz de Haro
Jung-Su Ha
Danny Driess
E. Karpas
Marc Toussaint
27
2
0
22 Oct 2022
Benchmarking GPU and TPU Performance with Graph Neural Networks
Benchmarking GPU and TPU Performance with Graph Neural Networks
X. Ju
Yunsong Wang
D. Murnane
Nicholas Choma
S. Farrell
P. Calafiura
GNN
18
2
0
21 Oct 2022
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
Kedar Karhadkar
P. Banerjee
Guido Montúfar
34
57
0
21 Oct 2022
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph
  Neural Network Inference on GPUs
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs
Taha Tekdogan
Serkan Göktas
Ayse Yilmazer-Metin
28
0
0
20 Oct 2022
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles
  with Vectorized Representation
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation
Ding Li
Qichao Zhang
Shuai Lu
Yifeng Pan
Dongbin Zhao
26
5
0
19 Oct 2022
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