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Relational inductive biases, deep learning, and graph networks
v1v2v3 (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
    AI4CENAI
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Papers citing "Relational inductive biases, deep learning, and graph networks"

50 / 1,598 papers shown
Title
Neural Networks for Vehicle Routing Problem
Neural Networks for Vehicle Routing Problem
László Kovács
Ali Jlidi
GNN
44
1
0
17 Sep 2024
Learning incomplete factorization preconditioners for GMRES
Learning incomplete factorization preconditioners for GMRES
Paul Hausner
Aleix Nieto Juscafresa
Jens Sjölund
103
3
0
12 Sep 2024
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Shivam Barwey
Pinaki Pal
Saumil Patel
Riccardo Balin
Bethany Lusch
V. Vishwanath
R. Maulik
R. Balakrishnan
AI4CE
279
1
0
12 Sep 2024
Video-Driven Graph Network-Based Simulators
Video-Driven Graph Network-Based Simulators
Franciszek Szewczyk
Gilles Louppe
M. Sabatelli
PINN
156
0
0
10 Sep 2024
Detection of False Data Injection Attacks (FDIA) on Power Dynamical
  Systems With a State Prediction Method
Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method
Abhijeet Sahu
Truc Nguyen
Kejun Chen
Xiangyu Zhang
Malik Hassanaly
106
1
0
06 Sep 2024
Neural Entropy
Neural Entropy
Akhil Premkumar
DiffM
201
1
0
05 Sep 2024
On the design space between molecular mechanics and machine learning
  force fields
On the design space between molecular mechanics and machine learning force fields
Yuanqing Wang
Kenichiro Takaba
Michael S. Chen
Marcus Wieder
Yuzhi Xu
...
Kyunghyun Cho
Joe G. Greener
Peter K. Eastman
Stefano Martiniani
M. Tuckerman
AI4CE
121
5
0
03 Sep 2024
SympGNNs: Symplectic Graph Neural Networks for identifiying
  high-dimensional Hamiltonian systems and node classification
SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification
Alan John Varghese
Zhen Zhang
George Karniadakis
105
3
0
29 Aug 2024
Towards Graph Prompt Learning: A Survey and Beyond
Towards Graph Prompt Learning: A Survey and Beyond
Qingqing Long
Yuchen Yan
Peiyan Zhang
Chen Fang
Wentao Cui
...
Shiyue Jiang
Zheng Fang
Chong Chen
Xian-Sheng Hua
Yuanchun Zhou
AI4CE
73
1
0
26 Aug 2024
Representation Learning of Complex Assemblies, An Effort to Improve
  Corporate Scope 3 Emissions Calculation
Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation
Ajay Chatterjee
Srikanth Ranganathan
131
0
0
21 Aug 2024
Universal Novelty Detection Through Adaptive Contrastive Learning
Universal Novelty Detection Through Adaptive Contrastive Learning
Hossein Mirzaei
Mojtaba Nafez
Mohammad Jafari
Mohammad Bagher Soltani
Mohammad Azizmalayeri
Jafar Habibi
Mohammad Sabokrou
M. Rohban
68
6
0
20 Aug 2024
NAVERO: Unlocking Fine-Grained Semantics for Video-Language
  Compositionality
NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality
Chaofan Tao
Gukyeong Kwon
Varad Gunjal
Hao Yang
Zhaowei Cai
Yonatan Dukler
Ashwin Swaminathan
R. Manmatha
Colin Jon Taylor
Stefano Soatto
CoGe
61
0
0
18 Aug 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
239
0
0
13 Aug 2024
Body Transformer: Leveraging Robot Embodiment for Policy Learning
Body Transformer: Leveraging Robot Embodiment for Policy Learning
Carmelo Sferrazza
Dun-Ming Huang
Fangchen Liu
Jongmin Lee
Pieter Abbeel
LM&Ro
88
14
0
12 Aug 2024
On the Element-Wise Representation and Reasoning in Zero-Shot Image
  Recognition: A Systematic Survey
On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey
Jingcai Guo
Zhijie Rao
Zhi Chen
Song Guo
Jingren Zhou
Dacheng Tao
116
3
0
09 Aug 2024
Enhanced Prediction of Multi-Agent Trajectories via Control Inference
  and State-Space Dynamics
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics
Yu Zhang
Yongxiang Zou
Haoyu Zhang
Zeyu Liu
Houcheng Li
Long Cheng
AI4CE
72
1
0
08 Aug 2024
Algorithm-Informed Graph Neural Networks for Leakage Detection and
  Localization in Water Distribution Networks
Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks
Zepeng Zhang
Olga Fink
GNN
103
1
0
05 Aug 2024
RICA2: Rubric-Informed, Calibrated Assessment of Actions
RICA2: Rubric-Informed, Calibrated Assessment of Actions
Abrar Majeedi
Viswanatha Reddy Gajjala
Satya Sai Srinath Namburi Gnvv
Yin Li
CML
100
3
0
04 Aug 2024
Non-convolutional Graph Neural Networks
Non-convolutional Graph Neural Networks
Yuanqing Wang
N. Scherer-Negenborn
GNN
96
5
0
31 Jul 2024
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph
  Representation Learning
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning
Xi Chen
Yun Xiong
Siwei Zhang
Jiawei Zhang
Yao Zhang
Shiyang Zhou
Xixi Wu
Mingyang Zhang
Tengfei Liu
Weiqiang Wang
AI4CE
93
2
0
26 Jul 2024
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
Mengjie Zhao
C. Taal
Stephan Baggerohr
Olga Fink
AI4CE
82
3
0
26 Jul 2024
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion
  Recognition in Conversation
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation
Tao Meng
Fuchen Zhang
Yuntao Shou
Hongen Shao
Wei Ai
Keqin Li
94
17
0
23 Jul 2024
I Know About "Up"! Enhancing Spatial Reasoning in Visual Language Models
  Through 3D Reconstruction
I Know About "Up"! Enhancing Spatial Reasoning in Visual Language Models Through 3D Reconstruction
Zaiqiao Meng
Hao Zhou
Yifang Chen
66
4
0
19 Jul 2024
Comparing and Contrasting Deep Learning Weather Prediction Backbones on
  Navier-Stokes and Atmospheric Dynamics
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics
Matthias Karlbauer
Danielle C. Maddix
Abdul Fatir Ansari
Boran Han
Gaurav Gupta
Yuyang Wang
Andrew Stuart
Michael W. Mahoney
AI4TS
103
1
0
19 Jul 2024
Anticipatory Task and Motion Planning
Anticipatory Task and Motion Planning
Roshan Dhakal
Duc M. Nguyen
Tom Silver
Xuesu Xiao
Gregory J. Stein
63
1
0
18 Jul 2024
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive
  Long-Range Graph Predictions
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions
Christian Nauck
R. Gorantla
M. Lindner
Konstantin Schurholt
Antonia S. J. S. Mey
Frank Hellmann
AI4CE
81
2
0
17 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
Yezi Liu
Yanning Shen
DD
94
5
0
10 Jul 2024
A review of graph neural network applications in mechanics-related
  domains
A review of graph neural network applications in mechanics-related domains
Yingxue Zhao
Haoran Li
Haosu Zhou
H. Attar
Tobias Pfaff
Nan Li
AI4CE
134
8
0
10 Jul 2024
Predicting 3D Rigid Body Dynamics with Deep Residual Network
Predicting 3D Rigid Body Dynamics with Deep Residual Network
Abiodun Finbarrs Oketunji
PINNAI4CE
70
0
0
09 Jul 2024
LMSeg: A deep graph message-passing network for efficient and accurate
  semantic segmentation of large-scale 3D landscape meshes
LMSeg: A deep graph message-passing network for efficient and accurate semantic segmentation of large-scale 3D landscape meshes
Zexian Huang
K. Khoshelham
Gunditj Mirring Traditional Owners Corporation
Martin Tomko
3DV
40
1
0
05 Jul 2024
Learning Geometric Invariant Features for Classification of Vector Polygons with Graph Message-passing Neural Network
Learning Geometric Invariant Features for Classification of Vector Polygons with Graph Message-passing Neural Network
Zexian Huang
K. Khoshelham
Martin Tomko
102
1
0
05 Jul 2024
Distributional Regression U-Nets for the Postprocessing of Precipitation
  Ensemble Forecasts
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts
Romain Pic
Clément Dombry
Philippe Naveau
Maxime Taillardat
81
0
0
02 Jul 2024
A Fast Learning-Based Surrogate of Electrical Machines using a Reduced
  Basis
A Fast Learning-Based Surrogate of Electrical Machines using a Reduced Basis
Alejandro Ribés
Nawfal Benchekroun
Théo Delagnes
AI4CE
80
1
0
27 Jun 2024
Improving Hyperparameter Optimization with Checkpointed Model Weights
Improving Hyperparameter Optimization with Checkpointed Model Weights
Nikhil Mehta
Jonathan Lorraine
Steve Masson
Ramanathan Arunachalam
Zaid Pervaiz Bhat
James Lucas
Arun George Zachariah
107
4
0
26 Jun 2024
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement
  Learning
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning
Matthias Weissenbacher
Rishabh Agarwal
Yoshinobu Kawahara
OffRL
60
1
0
21 Jun 2024
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field
  Prediction with Future Context Encoding
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding
Mingkun Wang
Xiaoguang Ren
Ruochun Jin
Minglong Li
Xiaochuan Zhang
Changqian Yu
Mingxu Wang
Wenjing Yang
96
3
0
20 Jun 2024
Graph Neural Networks for Job Shop Scheduling Problems: A Survey
Graph Neural Networks for Job Shop Scheduling Problems: A Survey
Igor G. Smit
Jianan Zhou
Robbert Reijnen
Yaoxin Wu
Jian Chen
Cong Zhang
Zaharah Bukhsh
Wim P. M. Nuijten
Yingqian Zhang
GNNAI4CE
117
11
0
20 Jun 2024
Transferable Watermarking to Self-supervised Pre-trained Graph Encoders
  by Trigger Embeddings
Transferable Watermarking to Self-supervised Pre-trained Graph Encoders by Trigger Embeddings
Xiangyu Zhao
Hanzhou Wu
Xinpeng Zhang
58
1
0
19 Jun 2024
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning
Dantong Niu
Yuvan Sharma
Giscard Biamby
Jerome Quenum
Yutong Bai
Baifeng Shi
Trevor Darrell
Roei Herzig
LM&RoVLM
110
27
0
17 Jun 2024
RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality
  Vision-Language Model
RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model
Hantao Zhou
Tianying Ji
Lukas Sommerhalder
Michael Goerner
Norman Hendrich
Jianwei Zhang
Fuchun Sun
Huazhe Xu
85
0
0
14 Jun 2024
Understanding active learning of molecular docking and its applications
Understanding active learning of molecular docking and its applications
Jeonghyeon Kim
Juno Nam
Seongok Ryu
55
0
0
14 Jun 2024
Identifiable Object-Centric Representation Learning via Probabilistic
  Slot Attention
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
Avinash Kori
Francesco Locatello
Ainkaran Santhirasekaram
Francesca Toni
Ben Glocker
Fabio De Sousa Ribeiro
OCL
97
4
0
11 Jun 2024
Learning Physical Simulation with Message Passing Transformer
Learning Physical Simulation with Message Passing Transformer
Zeyi Xu
Yifei Li
AI4CE
81
1
0
10 Jun 2024
Attention as a Hypernetwork
Attention as a Hypernetwork
Simon Schug
Seijin Kobayashi
Yassir Akram
João Sacramento
Razvan Pascanu
GNN
83
5
0
09 Jun 2024
Conv-INR: Convolutional Implicit Neural Representation for Multimodal
  Visual Signals
Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals
Zhicheng Cai
88
0
0
06 Jun 2024
A hybrid numerical methodology coupling Reduced Order Modeling and Graph
  Neural Networks for non-parametric geometries: applications to structural
  dynamics problems
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems
Victor Matray
Faisal Amlani
Frédéric Feyel
David Néron
AI4CE
91
5
0
03 Jun 2024
State Space Models on Temporal Graphs: A First-Principles Study
State Space Models on Temporal Graphs: A First-Principles Study
Jintang Li
Ruofan Wu
Xinzhou Jin
Boqun Ma
Liang Chen
Zibin Zheng
116
6
0
03 Jun 2024
Spatio-Spectral Graph Neural Networks
Spatio-Spectral Graph Neural Networks
Simon Geisler
Arthur Kosmala
Daniel Herbst
Stephan Günnemann
121
9
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29 May 2024
Causal Action Influence Aware Counterfactual Data Augmentation
Causal Action Influence Aware Counterfactual Data Augmentation
Núria Armengol Urpí
Marco Bagatella
Marin Vlastelica
Georg Martius
CML
64
5
0
29 May 2024
Understanding Transformer Reasoning Capabilities via Graph Algorithms
Understanding Transformer Reasoning Capabilities via Graph Algorithms
Clayton Sanford
Bahare Fatemi
Ethan Hall
Anton Tsitsulin
Seyed Mehran Kazemi
Jonathan J. Halcrow
Bryan Perozzi
Vahab Mirrokni
112
38
0
28 May 2024
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