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Everything is Connected: Graph Neural Networks

Everything is Connected: Graph Neural Networks

Current Opinion in Structural Biology (Curr. Opin. Struct. Biol.), 2023
19 January 2023
Petar Velickovic
    GNNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Everything is Connected: Graph Neural Networks"

50 / 67 papers shown
DeepChem Equivariant: SE(3)-Equivariant Support in an Open-Source Molecular Machine Learning Library
DeepChem Equivariant: SE(3)-Equivariant Support in an Open-Source Molecular Machine Learning Library
Jose Siguenza
Bharath Ramsundar
3DPC
120
0
0
19 Oct 2025
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
Theo Di Piazza
Carole Lazarus
O. Nempont
L. Boussel
238
0
0
12 Oct 2025
Community detection robustness of graph neural networks
Community detection robustness of graph neural networks
Jaidev Goel
Pablo Moriano
Ramakrishnan Kannan
Yulia R. Gel
AAML
70
0
0
29 Sep 2025
KNARsack: Teaching Neural Algorithmic Reasoners to Solve Pseudo-Polynomial Problems
KNARsack: Teaching Neural Algorithmic Reasoners to Solve Pseudo-Polynomial Problems
Stjepan Požgaj
Dobrik Georgiev
Marin Šilić
Petar Velickovic
117
0
0
17 Sep 2025
GTHNA: Local-global Graph Transformer with Memory Reconstruction for Holistic Node Anomaly Evaluation
GTHNA: Local-global Graph Transformer with Memory Reconstruction for Holistic Node Anomaly Evaluation
Mingkang Li
Xuexiong Luo
Yue Zhang
Y. Li
Fu Lin
73
0
0
13 Sep 2025
Optimal message passing for molecular prediction is simple, attentive and spatial
Optimal message passing for molecular prediction is simple, attentive and spatialDigital Discovery (DD), 2025
Alma C. Castaneda-Leautaud
Rommie E. Amaro
93
0
0
13 Sep 2025
Predicting the Performance of Graph Convolutional Networks with Spectral Properties of the Graph Laplacian
Predicting the Performance of Graph Convolutional Networks with Spectral Properties of the Graph Laplacian
Shalima Binta Manir
Tim Oates
GNN
164
0
0
18 Aug 2025
Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans
Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans
Theo Di Piazza
Carole Lazarus
O. Nempont
L. Boussel
121
2
0
01 Aug 2025
Learning Latent Graph Geometry via Fixed-Point Schrödinger-Type Activation: A Theoretical Study
Learning Latent Graph Geometry via Fixed-Point Schrödinger-Type Activation: A Theoretical Study
Dmitry Pasechnyuk-Vilensky
Daniil Doroshenko
60
0
0
27 Jul 2025
Graph Attention Networks for Detecting Epilepsy from EEG Signals Using Accessible Hardware in Low-Resource Settings
Graph Attention Networks for Detecting Epilepsy from EEG Signals Using Accessible Hardware in Low-Resource Settings
Szymon Mazurek
Stephen Moore
A. Crimi
74
1
0
20 Jul 2025
Graph Neural Networks for Jamming Source Localization
Graph Neural Networks for Jamming Source Localization
Dania Herzalla
W. T. Lunardi
Martin Andreoni
189
1
0
01 Jun 2025
Grasp the Graph (GtG) 2.0: Ensemble of Graph Neural Networks for High-Precision Grasp Pose Detection in Clutter
Grasp the Graph (GtG) 2.0: Ensemble of Graph Neural Networks for High-Precision Grasp Pose Detection in Clutter
Ali Rashidi Moghadam
Sayedmohammadreza Rastegari
M. T. Masouleh
Ahmad Kalhor
239
1
0
05 May 2025
Improving Equivariant Networks with Probabilistic Symmetry Breaking
Improving Equivariant Networks with Probabilistic Symmetry BreakingInternational Conference on Learning Representations (ICLR), 2025
Hannah Lawrence
Vasco Portilheiro
Yan Zhang
Sékou-Oumar Kaba
421
12
0
27 Mar 2025
Embedding spatial context in urban traffic forecasting with contrastive pre-training
Embedding spatial context in urban traffic forecasting with contrastive pre-training
Matthew Low
Arian Prabowo
Hao Xue
Flora D. Salim
AI4TS
281
0
0
19 Mar 2025
Global graph features unveiled by unsupervised geometric deep learning
Mirja Granfors
Jesús Pineda
Blanca Zufiria Gerbolés
J. Pereira
Carlo Manzo
Giovanni Volpe
197
0
0
07 Mar 2025
Co-evolution-based Metal-binding Residue Prediction with Graph Neural Networks
Sayedmohammadreza Rastegari
Sina Tabakhi
Xianyuan Liu
Wei Sang
Haiping Lu
AI4CE
196
0
0
22 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Maya Bechler-Speicher
Ben Finkelshtein
Fabrizio Frasca
Luis Muller
Jan Tönshoff
...
Michael M. Bronstein
Mathias Niepert
Bryan Perozzi
Mikhail Galkin
Christopher Morris
OOD
568
33
0
21 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review
Machine learning for modelling unstructured grid data in computational physics: a reviewInformation Fusion (Inf. Fusion), 2025
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINNAI4CE
548
15
0
13 Feb 2025
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling
Hu Cui
Renjing Huang
Ruoyu Zhang
Tessai Hayama
246
6
0
21 Jan 2025
Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning
Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning
Jinming Xing
Dongwen Luo
Qisen Cheng
Chang Xue
Ruilin Xing
124
3
0
23 Dec 2024
Enhanced Spatial Clustering of Single-Molecule Localizations with Graph Neural Networks
Jesús Pineda
Sergi Masó-Orriols
Joan Bertran
Mattias Goksör
Giovanni Volpe
Carlo Manzo
Carlo Manzo
229
1
0
29 Nov 2024
Lie-Equivariant Quantum Graph Neural Networks
Lie-Equivariant Quantum Graph Neural Networks
Jogi Suda Neto
Roy T. Forestano
S. Gleyzer
K. Kong
Konstantin T. Matchev
Katia Matcheva
281
1
0
22 Nov 2024
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy PhysicsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024
Md Abrar Jahin
Md. Akmol Masud
Md Wahiduzzaman Suva
M. F. Mridha
Nilanjan Dey
422
6
0
03 Nov 2024
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination
Md Abrar Jahin
Md. Akmol Masud
M. F. Mridha
Nilanjan Dey
Zeyar Aung
619
0
0
03 Nov 2024
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
Julius von Rohrscheidt
Bastian Rieck
368
2
0
03 Oct 2024
Revisiting Neighborhood Aggregation in Graph Neural Networks for Node
  Classification using Statistical Signal Processing
Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing
Mounir Ghogho
226
1
0
21 Jul 2024
End-to-end Stroke imaging analysis, using reservoir computing-based
  effective connectivity, and interpretable Artificial intelligence
End-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence
W. Ciezobka
J. Falco-Roget
C. Koba
A. Crimi
167
3
0
17 Jul 2024
Graph Transformers: A Survey
Graph Transformers: A Survey
Ahsan Shehzad
Xiwei Xu
Shagufta Abid
Ciyuan Peng
Shuo Yu
Dongyu Zhang
Karin Verspoor
AI4CE
417
38
0
13 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
309
36
0
10 Jul 2024
Kolmogorov-Arnold Graph Neural Networks
Kolmogorov-Arnold Graph Neural Networks
Gianluca De Carlo
Andrea Mastropietro
Aris Anagnostopoulos
337
39
0
26 Jun 2024
Transformers meet Neural Algorithmic Reasoners
Transformers meet Neural Algorithmic Reasoners
Wilfried Bounsi
Borja Ibarz
Andrew Dudzik
Jessica B. Hamrick
Larisa Markeeva
Alex Vitvitskyi
Razvan Pascanu
Petar Veličković
NAIAI4CELRM
272
11
0
13 Jun 2024
Unraveling the Impact of Heterophilic Structures on Graph
  Positive-Unlabeled Learning
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
Yuhao Wu
Jiangchao Yao
Bo Han
Lina Yao
Tongliang Liu
324
5
0
30 May 2024
ForecastGrapher: Redefining Multivariate Time Series Forecasting with
  Graph Neural Networks
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
Wanlin Cai
Kun Wang
Hao Wu
Xiaoxu Chen
Yuankai Wu
AI4TS
222
3
0
28 May 2024
Graph Neural Networks on Quantum Computers
Graph Neural Networks on Quantum Computers
Yidong Liao
Xiao-Ming Zhang
Chris Ferrie
GNN
210
9
0
27 May 2024
Position: Categorical Deep Learning is an Algebraic Theory of All
  Architectures
Position: Categorical Deep Learning is an Algebraic Theory of All Architectures
Bruno Gavranovic
Paul Lessard
Andrew Dudzik
Tamara von Glehn
J. G. Araújo
Petar Velickovic
297
15
0
23 Feb 2024
A unifying primary framework for quantum graph neural networks from
  quantum graph states
A unifying primary framework for quantum graph neural networks from quantum graph states
Ammar Daskin
GNN
279
2
0
20 Feb 2024
Position: Topological Deep Learning is the New Frontier for Relational
  Learning
Position: Topological Deep Learning is the New Frontier for Relational Learning
Theodore Papamarkou
Tolga Birdal
Michael M. Bronstein
Gunnar Carlsson
Justin Curry
...
Petar Velickovic
Bei Wang
Yusu Wang
Guo-Wei Wei
Ghada Zamzmi
AI4CE
325
61
0
14 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational
  Gradient Matching
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching
Tianle Zhang
Yuchen Zhang
Kun Wang
Kai Wang
Beining Yang
Kaipeng Zhang
Wenqi Shao
Ping Liu
Qiufeng Wang
Yang You
DD
425
15
0
07 Feb 2024
Graph Transformers without Positional Encodings
Graph Transformers without Positional Encodings
Ayush Garg
323
3
0
31 Jan 2024
Probabilistic Demand Forecasting with Graph Neural Networks
Probabilistic Demand Forecasting with Graph Neural Networks
Nikita Kozodoi
E. Zinovyeva
Simon Valentin
João Pereira
Rodrigo Agundez
AI4TS
161
2
0
23 Jan 2024
Artificial Intelligence for Operations Research: Revolutionizing the
  Operations Research Process
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
Zhenan Fan
Bissan Ghaddar
Xinglu Wang
Linzi Xing
Yong Zhang
Zirui Zhou
AI4CE
255
21
0
06 Jan 2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory
  GNNs using Scarce Data
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data
Michalis Pistos
Gang Li
Weili Lin
Dinggang Shen
I. Rekik
267
1
0
01 Jan 2024
Representing Outcome-driven Higher-order Dependencies in Graphs of
  Disease Trajectories
Representing Outcome-driven Higher-order Dependencies in Graphs of Disease Trajectories
Steven J. Krieg
Nitesh Chawla
K. Feldman
AI4CE
125
0
0
23 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic
  Review
Deep Generative Models for Detector Signature Simulation: A Taxonomic ReviewReviews in Physics (RP), 2023
Baran Hashemi
Claudius Krause
352
25
0
15 Dec 2023
Simplicial Representation Learning with Neural $k$-Forms
Simplicial Representation Learning with Neural kkk-FormsInternational Conference on Learning Representations (ICLR), 2023
Kelly Maggs
Celia Hacker
Bastian Rieck
AI4CE
293
16
0
13 Dec 2023
A Comparison Between Invariant and Equivariant Classical and Quantum
  Graph Neural Networks
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks
Roy T. Forestano
Marçal Comajoan Cara
Gopal Ramesh Dahale
Zhongtian Dong
S. Gleyzer
...
Kyoungchul Kong
Tom Magorsch
Konstantin T. Matchev
Katia Matcheva
Eyup B. Unlu
GNN
362
9
0
30 Nov 2023
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu
  Search
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu SearchInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Abbas Mehrabian
Ankit Anand
Hyunjik Kim
Nicolas Sonnerat
Matej Balog
...
Laurent Orseau
Joonkyung Lee
Anurag Murty Naredla
Doina Precup
Adam Zsolt Wagner
243
11
0
06 Nov 2023
Form follows Function: Text-to-Text Conditional Graph Generation based
  on Functional Requirements
Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements
Peter Zachares
Vahan Hovhannisyan
Alan Mosca
Yarin Gal
233
1
0
01 Nov 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs
Marginal Nodes Matter: Towards Structure Fairness in GraphsSIGKDD Explorations (SIGKDD Explor.), 2023
Xiaotian Han
Kaixiong Zhou
Ting-Hsiang Wang
Jundong Li
Fei Wang
Na Zou
298
2
0
23 Oct 2023
TacticAI: an AI assistant for football tactics
TacticAI: an AI assistant for football tacticsNature Communications (Nat. Commun.), 2023
Zhe Wang
Petar Velickovic
Daniel Hennes
Nenad Tomašev
Laurel Prince
...
Pol Moreno
N. Heess
Michael Bowling
Demis Hassabis
K. Tuyls
400
76
0
16 Oct 2023
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