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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 / 350 papers shown
Title
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
13
5
0
19 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
Juncheng Liu
Bryan Hooi
Kenji Kawaguchi
X. Xiao
AI4CE
21
20
0
15 Oct 2022
Unsupervised Dense Nuclei Detection and Segmentation with Prior
  Self-activation Map For Histology Images
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images
Pingyi Chen
Chenglu Zhu
Zhongyi Shui
Jiatong Cai
S. Zheng
Shichuan Zhang
L. Yang
14
4
0
14 Oct 2022
Self-Supervised Learning of Linear Precoders under Non-Linear PA
  Distortion for Energy-Efficient Massive MIMO Systems
Self-Supervised Learning of Linear Precoders under Non-Linear PA Distortion for Energy-Efficient Massive MIMO Systems
Thomas Feys
Xavier Mestre
François Rottenberg
8
2
0
13 Oct 2022
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of
  Graph Neural Networks for Attributed and Dynamic Graphs
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs
Silvia Beddar-Wiesing
Giuseppe Alessio D’Inverno
C. Graziani
Veronica Lachi
Alice Moallemy-Oureh
F. Scarselli
J. M. Thomas
24
9
0
08 Oct 2022
Achieving and Understanding Out-of-Distribution Generalization in
  Systematic Reasoning in Small-Scale Transformers
Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers
A. Nam
Mustafa Abdool
Trevor C. Maxfield
James L. McClelland
NAI
LRM
AI4CE
23
1
0
07 Oct 2022
Expander Graph Propagation
Expander Graph Propagation
Andreea Deac
Marc Lackenby
Petar Velivcković
96
51
0
06 Oct 2022
Relational Proxies: Emergent Relationships as Fine-Grained
  Discriminators
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators
Abhra Chaudhuri
Massimiliano Mancini
Zeynep Akata
Anjan Dutta
11
4
0
05 Oct 2022
Stateful active facilitator: Coordination and Environmental
  Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
22
7
0
04 Oct 2022
MultiScale MeshGraphNets
MultiScale MeshGraphNets
Meire Fortunato
Tobias Pfaff
Peter Wirnsberger
Alexander Pritzel
Peter W. Battaglia
AI4CE
25
68
0
02 Oct 2022
GFlowNets and variational inference
GFlowNets and variational inference
Nikolay Malkin
Salem Lahlou
T. Deleu
Xu Ji
J. E. Hu
Katie Everett
Dinghuai Zhang
Yoshua Bengio
BDL
132
77
0
02 Oct 2022
Dynamic Inference on Graphs using Structured Transition Models
Dynamic Inference on Graphs using Structured Transition Models
Saumya Saxena
Oliver Kroemer
AI4CE
21
0
0
29 Sep 2022
Planning for Multi-Object Manipulation with Graph Neural Network
  Relational Classifiers
Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers
Yixuan Huang
Adam Conkey
Tucker Hermans
15
26
0
24 Sep 2022
Exact conservation laws for neural network integrators of dynamical
  systems
Exact conservation laws for neural network integrators of dynamical systems
E. Müller
PINN
37
12
0
23 Sep 2022
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural
  Network
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network
Ravinder Bhattoo
Sayan Ranu
N. M. A. Krishnan
AI4CE
26
17
0
23 Sep 2022
Towards Real Time Thermal Simulations for Design Optimization using
  Graph Neural Networks
Towards Real Time Thermal Simulations for Design Optimization using Graph Neural Networks
H. Sanchis-Alepuz
Monika Stipsitz
AI4CE
4
4
0
21 Sep 2022
Distributed representations of graphs for drug pair scoring
Distributed representations of graphs for drug pair scoring
P. Scherer
Pietro Lio'
M. Jamnik
14
2
0
19 Sep 2022
Multimodal learning with graphs
Multimodal learning with graphs
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
38
82
0
07 Sep 2022
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel
  Transformer Architectures
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures
Lars Odegaard Bentsen
N. Warakagoda
R. Stenbro
P. Engelstad
AI4TS
19
96
0
29 Aug 2022
Interaction Modeling with Multiplex Attention
Interaction Modeling with Multiplex Attention
Fan-Yun Sun
Isaac Kauvar
Ruohan Zhang
Jiachen Li
Mykel Kochenderfer
Jiajun Wu
Nick Haber
14
18
0
23 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
21
1
0
07 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
12
16
0
27 Jul 2022
Thermodynamics of learning physical phenomena
Thermodynamics of learning physical phenomena
Elías Cueto
Francisco Chinesta
AI4CE
16
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
6
10
0
25 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
19
26
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
14
32
0
20 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
25
2
0
17 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
16
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
13
27
0
14 Jul 2022
Tuning the Geometry of Graph Neural Networks
Tuning the Geometry of Graph Neural Networks
Sowon Jeong
Claire Donnat
AI4CE
19
1
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
15
26
0
11 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
18
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
13
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
35
13
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
36
63
0
30 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
30
14
0
17 Jun 2022
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular
  Graphs
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
Limei Wang
Yi Liu
Yu-Ching Lin
Hao Liu
Shuiwang Ji
GNN
31
87
0
17 Jun 2022
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for
  End-to-End Visual Robotic Manipulation Learning
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
Hyunwoo Ryu
Jeong-Hoon Lee
Honglak Lee
Jongeun Choi
28
53
0
16 Jun 2022
Condensing Graphs via One-Step Gradient Matching
Condensing Graphs via One-Step Gradient Matching
Wei Jin
Xianfeng Tang
Haoming Jiang
Zheng Li
Danqing Zhang
Jiliang Tang
Bin Ying
DD
21
97
0
15 Jun 2022
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast
  and Accurate Force Fields
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
Ilyes Batatia
D. P. Kovács
G. Simm
Christoph Ortner
Gábor Csányi
31
433
0
15 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound
DiffWire: Inductive Graph Rewiring via the Lovász Bound
Adrián Arnaiz-Rodríguez
Ahmed Begga
Francisco Escolano
Nuria Oliver
19
60
0
15 Jun 2022
Metric Based Few-Shot Graph Classification
Metric Based Few-Shot Graph Classification
Donato Crisostomi
Simone Antonelli
Valentino Maiorca
Luca Moschella
R. Marin
Emanuele Rodolà
16
5
0
08 Jun 2022
Shortest Path Networks for Graph Property Prediction
Shortest Path Networks for Graph Property Prediction
Ralph Abboud
Radoslav Dimitrov
.Ismail .Ilkan Ceylan
GNN
19
44
0
02 Jun 2022
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed
  Boundary Conditions
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions
Masanobu Horie
Naoto Mitsume
PINN
AI4CE
19
23
0
24 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Maciej Besta
Torsten Hoefler
GNN
32
55
0
19 May 2022
GraphMapper: Efficient Visual Navigation by Scene Graph Generation
GraphMapper: Efficient Visual Navigation by Scene Graph Generation
Zachary Seymour
Niluthpol Chowdhury Mithun
Han-Pang Chiu
S. Samarasekera
Rakesh Kumar
16
8
0
17 May 2022
Towards Fast Simulation of Environmental Fluid Mechanics with
  Multi-Scale Graph Neural Networks
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
Mario Lino
Stathi Fotiadis
Anil A. Bharath
C. Cantwell
AI4CE
9
11
0
05 May 2022
Group-Invariant Quantum Machine Learning
Group-Invariant Quantum Machine Learning
Martín Larocca
F. Sauvage
Faris M. Sbahi
Guillaume Verdon
Patrick J. Coles
M. Cerezo
AI4CE
16
117
0
04 May 2022
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory
  Prediction via Scene Encoding
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding
Xiaosong Jia
Peng Wu
Li Chen
Y. Liu
Hongyang Li
Junchi Yan
21
120
0
30 Apr 2022
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