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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 / 1,581 papers shown
Title
Are Large-Language Models Graph Algorithmic Reasoners?
Are Large-Language Models Graph Algorithmic Reasoners?
Alexander K. Taylor
Anthony Cuturrufo
Vishal Yathish
Mingyu Derek Ma
Wei Wang
LRM
46
0
0
29 Oct 2024
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert
  Knowledge
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
Heewoong Noh
Namkyeong Lee
Gyoung S. Na
Chanyoung Park
26
1
0
28 Oct 2024
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing
Julia Balla
S. Mishra-Sharma
C. Cuesta-Lázaro
Tommi Jaakkola
Tess E. Smidt
29
1
0
27 Oct 2024
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of
  Large Language Models
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models
Mohammad Beigi
Sijia Wang
Ying Shen
Zihao Lin
Adithya Kulkarni
...
Ming Jin
Jin-Hee Cho
Dawei Zhou
Chang-Tien Lu
Lifu Huang
29
1
0
26 Oct 2024
Language Agents Meet Causality -- Bridging LLMs and Causal World Models
Language Agents Meet Causality -- Bridging LLMs and Causal World Models
John Gkountouras
Matthias Lindemann
Phillip Lippe
E. Gavves
Ivan Titov
LRM
28
0
0
25 Oct 2024
Double Difference Earthquake Location with Graph Neural Networks
Double Difference Earthquake Location with Graph Neural Networks
I. McBrearty
G. Beroza
18
0
0
25 Oct 2024
Sparse Decomposition of Graph Neural Networks
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
P. Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
32
0
0
25 Oct 2024
TranSPORTmer: A Holistic Approach to Trajectory Understanding in
  Multi-Agent Sports
TranSPORTmer: A Holistic Approach to Trajectory Understanding in Multi-Agent Sports
Guillem Capellera
Luis Ferraz
Antonio Rubio
Antonio Agudo
Francesc Moreno-Noguer
37
3
0
23 Oct 2024
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Dominik Fuchsgruber
Tim Poštuvan
Stephan Günnemann
Simon Geisler
39
2
0
22 Oct 2024
Learning signals defined on graphs with optimal transport and Gaussian process regression
Learning signals defined on graphs with optimal transport and Gaussian process regression
Raphael Carpintero Perez
Sébastien da Veiga
Josselin Garnier
B. Staber
30
1
0
21 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network
  Features
Learning to Control the Smoothness of Graph Convolutional Network Features
Shih-Hsin Wang
Justin Baker
Cory Hauck
Bao Wang
36
0
0
18 Oct 2024
Loss Landscape Characterization of Neural Networks without
  Over-Parametrization
Loss Landscape Characterization of Neural Networks without Over-Parametrization
Rustem Islamov
Niccolò Ajroldi
Antonio Orvieto
Aurélien Lucchi
33
4
0
16 Oct 2024
Neural Symbolic Regression of Complex Network Dynamics
Neural Symbolic Regression of Complex Network Dynamics
Haiquan Qiu
Shuzhi Liu
Quanming Yao
27
1
0
15 Oct 2024
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
Sajad Movahedi
Antonio Orvieto
Seyed-Mohsen Moosavi-Dezfooli
AAML
AI4CE
136
0
0
15 Oct 2024
Ranking over Regression for Bayesian Optimization and Molecule Selection
Ranking over Regression for Bayesian Optimization and Molecule Selection
Gary Tom
Stanley Lo
Samantha Corapi
Alán Aspuru-Guzik
Benjamín Sánchez-Lengeling
BDL
39
0
0
11 Oct 2024
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular
  Observations
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations
Bryce Ferenczi
Michael G. Burke
Tom Drummond
31
0
0
11 Oct 2024
Explaining Hypergraph Neural Networks: From Local Explanations to Global
  Concepts
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts
Shiye Su
Iulia Duta
Lucie Charlotte Magister
Pietro Lio'
FAtt
34
0
0
10 Oct 2024
Molecular Dynamics and Machine Learning Unlock Possibilities in Beauty
  Design -- A Perspective
Molecular Dynamics and Machine Learning Unlock Possibilities in Beauty Design -- A Perspective
Yuzhi Xu
Haowei Ni
Qinhui Gao
Chia-Hua Chang
Yanran Huo
...
Yike Zhang
Radu Grovu
Min He
John Z. H. Zhang
Yuanqing Wang
AI4CE
29
0
0
08 Oct 2024
Cayley Graph Propagation
Cayley Graph Propagation
JJ Wilson
Maya Bechler-Speicher
Petar Veličković
30
5
0
04 Oct 2024
MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks
  Simulators
MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks Simulators
Sheng Yang
Fengge Wu
Junsuo Zhao
AI4CE
18
0
0
04 Oct 2024
Dynamic Portfolio Rebalancing: A Hybrid new Model Using GNNs and
  Pathfinding for Cost Efficiency
Dynamic Portfolio Rebalancing: A Hybrid new Model Using GNNs and Pathfinding for Cost Efficiency
Diego Vallarino
28
3
0
02 Oct 2024
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
Bocheng Zeng
Qi Wang
M. Yan
Y. Liu
Ruizhi Chengze
Yi Zhang
Hongsheng Liu
Zidong Wang
Hao Sun
AI4CE
40
3
0
02 Oct 2024
Structure-Preserving Operator Learning
Structure-Preserving Operator Learning
Nacime Bouziani
Nicolas Boullé
25
0
0
01 Oct 2024
Robustness of AI-based weather forecasts in a changing climate
Robustness of AI-based weather forecasts in a changing climate
Thomas Rackow
Nikolay Koldunov
Christian Lessig
Irina Sandu
Mihai Alexe
...
Jesper Dramsch
Florian Pappenberger
Xabier Pedruzo-Bagazgoitia
Steffen Tietsche
Thomas Jung
AI4Cl
AI4CE
OOD
28
4
0
27 Sep 2024
Recent advances in interpretable machine learning using structure-based
  protein representations
Recent advances in interpretable machine learning using structure-based protein representations
L. Vecchietti
Minji Lee
Begench Hangeldiyev
Hyunkyu Jung
Hahnbeom Park
Tae-Kyun Kim
Meeyoung Cha
Ho Min Kim
AI4CE
27
1
0
26 Sep 2024
Physics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for
  complex problems
Physics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for complex problems
M. Chenaud
Frédéric Magoulès
José Alves
AI4CE
PINN
28
1
0
25 Sep 2024
Multi-Grid Graph Neural Networks with Self-Attention for Computational
  Mechanics
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
Paul Garnier
J. Viquerat
E. Hachem
AI4CE
19
0
0
18 Sep 2024
Neural Networks for Vehicle Routing Problem
Neural Networks for Vehicle Routing Problem
László Kovács
Ali Jlidi
GNN
25
1
0
17 Sep 2024
Learning incomplete factorization preconditioners for GMRES
Learning incomplete factorization preconditioners for GMRES
Paul Hausner
Aleix Nieto Juscafresa
Jens Sjölund
54
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
99
0
0
12 Sep 2024
Video-Driven Graph Network-Based Simulators
Video-Driven Graph Network-Based Simulators
Franciszek Szewczyk
Gilles Louppe
M. Sabatelli
PINN
38
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
27
1
0
06 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
42
4
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
28
2
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
39
0
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
39
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
18
4
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
29
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
40
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
40
10
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
33
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
29
0
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
34
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
28
2
0
04 Aug 2024
Non-convolutional Graph Neural Networks
Non-convolutional Graph Neural Networks
Yuanqing Wang
N. Scherer-Negenborn
GNN
27
3
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
28
1
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
30
2
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
31
16
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
35
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
54
1
0
19 Jul 2024
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