Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1806.01261
Cited By
v1
v2
v3 (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
AI4CE
NAI
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Relational inductive biases, deep learning, and graph networks"
50 / 1,598 papers shown
Title
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs
Theodor Westny
Joel Oskarsson
Björn Olofsson
Erik Frisk
135
38
0
01 Feb 2023
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design
Jian Cheng Wong
C. Ooi
Joyjit Chattoraj
Lucas Lestandi
Guoying Dong
Umesh Kizhakkinan
D. W. Rosen
M. Jhon
M. Dao
AI4CE
PINN
69
9
0
01 Feb 2023
Transformers Meet Directed Graphs
Simon Geisler
Yujia Li
D. Mankowitz
A. Cemgil
Stephan Günnemann
Cosmin Paduraru
111
39
0
31 Jan 2023
Zero-One Laws of Graph Neural Networks
Sam Adam-Day
Theodor-Mihai Iliant
.Ismail .Ilkan Ceylan
GNN
AI4CE
51
4
0
30 Jan 2023
StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes
Vaibhav Bihani
S. Manchanda
Srikanth Sastry
Sayan Ranu
N. M. A. Krishnan
GNN
OffRL
AI4CE
70
5
0
29 Jan 2023
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with Transformer
Zhaoyang Chen
Lina Siltala-Li
Mikko Lassila
Pekka Malo
Eeva Vilkkumaa
T. Saaresranta
A. Virkki
69
5
0
28 Jan 2023
On the Connection Between MPNN and Graph Transformer
Chen Cai
Truong-Son Hy
Rose Yu
Yusu Wang
110
55
0
27 Jan 2023
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning
Marco Skocaj
Pedro Enrique Iturria-Rivera
Roberto Verdone
Melike Erol-Kantarci
66
1
0
27 Jan 2023
PhysGraph: Physics-Based Integration Using Graph Neural Networks
Oshri Halimi
E.T Larionov
Zohar Barzelay
Philipp Herholz
Tuur Stuyck
PINN
OOD
AI4CE
90
3
0
27 Jan 2023
Convolutional Learning on Simplicial Complexes
Maosheng Yang
Elvin Isufi
86
21
0
26 Jan 2023
Spatial Attention Kinetic Networks with E(n)-Equivariance
Yuanqing Wang
J. Chodera
82
17
0
21 Jan 2023
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel
Marc-Andre Schulz
Moritz Seiler
Henrik Walter
K. Ritter
AI4CE
83
44
0
20 Jan 2023
Everything is Connected: Graph Neural Networks
Petar Velickovic
GNN
AI4CE
109
190
0
19 Jan 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation
Michael Färber
Melissa Coutinho
Shuzhou Yuan
83
8
0
18 Jan 2023
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets
E. Buhmann
Gregor Kasieczka
Jesse Thaler
3DPC
140
47
0
17 Jan 2023
Dataset Distillation: A Comprehensive Review
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
163
131
0
17 Jan 2023
State of the Art and Potentialities of Graph-level Learning
Zhenyu Yang
Ge Zhang
Hongzhi Zhang
Jian Yang
Quan.Z Sheng
...
Charu C. Aggarwal
Hao Peng
Wenbin Hu
Edwin R. Hancock
Pietro Lio
GNN
AI4CE
125
15
0
14 Jan 2023
AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms
Chen Zhao
Zhihui Xu
Jingfeng Jiang
Michele Esposito
Drew Pienta
Guang-Uei Hung
Weihua Zhou
38
11
0
11 Jan 2023
Adaptively Clustering Neighbor Elements for Image-Text Generation
Zihua Wang
Xu Yang
Hanwang Zhang
Haiyang Xu
Mingshi Yan
Feisi Huang
Yu Zhang
VLM
172
0
0
05 Jan 2023
Deep Statistical Solver for Distribution System State Estimation
Benjamin Habib
Elvin Isufi
Ward van Breda
A. Jongepier
J. Cremer
68
19
0
04 Jan 2023
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models
Yufeng Zhang
Boyi Liu
Qi Cai
Lingxiao Wang
Zhaoran Wang
121
13
0
30 Dec 2022
A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
Rui Gao
Indu Kant Deo
R. Jaiman
AI4CE
76
21
0
30 Dec 2022
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
73
16
0
26 Dec 2022
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
141
290
0
24 Dec 2022
Relational Local Explanations
V. Borisov
Gjergji Kasneci
FAtt
65
0
0
23 Dec 2022
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
73
46
0
22 Dec 2022
Deep set conditioned latent representations for action recognition
Akash Singh
Tom De Schepper
Kevin Mets
P. Hellinckx
José Oramas
Steven Latré
BDL
63
2
0
21 Dec 2022
ImPaKT: A Dataset for Open-Schema Knowledge Base Construction
Luke Vilnis
Zachary Kenneth Fisher
Bhargav Kanagal
Patrick C. Murray
Sumit Sanghai
79
3
0
21 Dec 2022
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
Chenxiao Yang
Qitian Wu
Jiahua Wang
Junchi Yan
AI4CE
119
56
0
18 Dec 2022
Leave Graphs Alone: Addressing Over-Squashing without Rewiring
Adam Santoro
Ashish Vaswani
56
14
0
13 Dec 2022
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
138
18
0
08 Dec 2022
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
99
37
0
07 Dec 2022
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
82
17
0
03 Dec 2022
Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution
E. Medina
S. Linke
Martin Stoll
K. Sundmacher
87
11
0
02 Dec 2022
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
77
20
0
01 Dec 2022
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs
P. Bongini
Elisa Messori
Niccolò Pancino
Monica Bianchini
GNN
OOD
47
2
0
30 Nov 2022
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
69
6
0
27 Nov 2022
Meta Architecture for Point Cloud Analysis
Haojia Lin
Xiawu Zheng
Lijiang Li
Chia-Wen Lin
Sha Wang
Yan Wang
Yonghong Tian
Rongrong Ji
3DPC
72
48
0
26 Nov 2022
A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks
Roberto Perera
V. Agrawal
AI4CE
32
11
0
22 Nov 2022
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
97
1
0
22 Nov 2022
Learnable Graph Convolutional Attention Networks
Adrián Javaloy
Pablo Sánchez-Martín
Amit Levi
Isabel Valera
GNN
71
11
0
21 Nov 2022
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
124
72
0
21 Nov 2022
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
Xichen Pan
Pengda Qin
Yuhong Li
Hui Xue
Wenhu Chen
DiffM
97
65
0
20 Nov 2022
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
69
24
0
18 Nov 2022
GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling
Krishna Kumar
J. Vantassel
AI4CE
27
12
0
18 Nov 2022
Explainability Via Causal Self-Talk
Nicholas A. Roy
Junkyung Kim
Neil C. Rabinowitz
CML
87
7
0
17 Nov 2022
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation
Yiyue Hu
Lei Zhang
Nan Mu
Leijun Liu
ViT
MedIm
44
1
0
17 Nov 2022
ParticleGrid: Enabling Deep Learning using 3D Representation of Materials
Shehtab Zaman
E. Ferguson
Cécile Pereira
D. Akhiyarov
Mauricio Araya-Polo
Kenneth Chiu
DiffM
AI4CE
73
2
0
15 Nov 2022
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation
P. D. Siedler
AI4CE
62
4
0
14 Nov 2022
Methods for Recovering Conditional Independence Graphs: A Survey
H. Shrivastava
Urszula Chajewska
CML
72
11
0
13 Nov 2022
Previous
1
2
3
...
9
10
11
...
30
31
32
Next