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Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
v1v2v3v4v5 (latest)

Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

4 October 2018
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
    GNN
ArXiv (abs)PDFHTML

Papers citing "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks"

50 / 877 papers shown
Contrastive Video Question Answering via Video Graph Transformer
Contrastive Video Question Answering via Video Graph TransformerIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Junbin Xiao
Pan Zhou
Angela Yao
Yicong Li
Richang Hong
Shuicheng Yan
Tat-Seng Chua
ViT
252
52
0
27 Feb 2023
Pose-Controllable 3D Facial Animation Synthesis using Hierarchical
  Audio-Vertex Attention
Pose-Controllable 3D Facial Animation Synthesis using Hierarchical Audio-Vertex Attention
Yinan Han
Xiaolin K. Wei
Bo Li
Junjie Cao
Yunyu Lai
CVBM
156
3
0
24 Feb 2023
Some Might Say All You Need Is Sum
Some Might Say All You Need Is SumInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Eran Rosenbluth
Jan Toenshoff
Martin Grohe
238
23
0
22 Feb 2023
Equivariant Polynomials for Graph Neural Networks
Equivariant Polynomials for Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2023
Omri Puny
Derek Lim
B. Kiani
Haggai Maron
Y. Lipman
302
42
0
22 Feb 2023
A General-Purpose Transferable Predictor for Neural Architecture Search
A General-Purpose Transferable Predictor for Neural Architecture SearchSDM (SDM), 2023
Fred X. Han
Keith G. Mills
Fabián A. Chudak
Parsa Riahi
Mohammad Salameh
Jialin Zhang
Wei Lu
Shangling Jui
Di Niu
AI4CEOOD
174
3
0
21 Feb 2023
On the Expressivity of Persistent Homology in Graph Learning
On the Expressivity of Persistent Homology in Graph LearningLOG IN (LOG IN), 2023
Bastian Rieck
Bastian Rieck
352
20
0
20 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures
G-Signatures: Global Graph Propagation With Randomized Signatures
Bernhard Schafl
Lukas Gruber
Johannes Brandstetter
Sepp Hochreiter
340
4
0
17 Feb 2023
Multiresolution Graph Transformers and Wavelet Positional Encoding for
  Learning Hierarchical Structures
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical StructuresJournal of Chemical Physics (JCP), 2023
Nhat-Khang Ngô
Truong-Son Hy
Risi Kondor
ViTAI4CE
330
3
0
17 Feb 2023
Is Distance Matrix Enough for Geometric Deep Learning?
Is Distance Matrix Enough for Geometric Deep Learning?Neural Information Processing Systems (NeurIPS), 2023
Zian Li
Xiyuan Wang
Yinan Huang
Muhan Zhang
285
24
0
11 Feb 2023
Neural Capacitated Clustering
Neural Capacitated ClusteringInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Jonas K. Falkner
Lars Schmidt-Thieme
195
1
0
10 Feb 2023
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer
Md. Rezaul Karim
Lina Molinas Comet
Oya Beyan
Dietrich-Rebholz Schuhmann
Stefan Decker
258
2
0
09 Feb 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on
  Graph Diffusion
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph DiffusionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Haotian Ju
Dongyue Li
Aneesh Sharma
Hongyang R. Zhang
318
48
0
09 Feb 2023
Attending to Graph Transformers
Attending to Graph Transformers
Luis Muller
Mikhail Galkin
Christopher Morris
Ladislav Rampášek
400
124
0
08 Feb 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of
  Width, Depth, and Topology
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and TopologyInternational Conference on Machine Learning (ICML), 2023
Francesco Di Giovanni
Lorenzo Giusti
Federico Barbero
Giulia Luise
Pietro Lio
Michael M. Bronstein
404
174
0
06 Feb 2023
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge
  Graphs
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge GraphsNeural Information Processing Systems (NeurIPS), 2023
Xingyue Huang
Miguel Romero
.Ismail .Ilkan Ceylan
Pablo Barceló
267
34
0
04 Feb 2023
Double Equivariance for Inductive Link Prediction for Both New Nodes and
  New Relation Types
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
Jianfei Gao
Yangze Zhou
Jincheng Zhou
Bruno Ribeiro
686
18
0
02 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open
  challenges, and opportunities
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Antonio Longa
Veronica Lachi
G. Santin
Monica Bianchini
Bruno Lepri
Pietro Lio
F. Scarselli
Baptiste Caramiaux
AI4CE
567
91
0
02 Feb 2023
Predicting Molecule-Target Interaction by Learning Biomedical Network
  and Molecule Representations
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations
Jinjiang Guo
Jie Li
181
0
0
02 Feb 2023
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with
  Neural ODEs
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEsIEEE Transactions on Intelligent Vehicles (TIV), 2023
Theodor Westny
Joel Oskarsson
Björn Olofsson
Erik Frisk
427
51
0
01 Feb 2023
Complete Neural Networks for Complete Euclidean Graphs
Complete Neural Networks for Complete Euclidean GraphsAAAI Conference on Artificial Intelligence (AAAI), 2023
Snir Hordan
Tal Amir
S. Gortler
Nadav Dym
3DPC
318
7
0
31 Jan 2023
Zero-One Laws of Graph Neural Networks
Zero-One Laws of Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Sam Adam-Day
Theodor-Mihai Iliant
.Ismail .Ilkan Ceylan
GNNAI4CE
261
7
0
30 Jan 2023
Curvature Filtrations for Graph Generative Model Evaluation
Curvature Filtrations for Graph Generative Model EvaluationNeural Information Processing Systems (NeurIPS), 2023
Joshua Southern
Jeremy Wayland
Michael M. Bronstein
Bastian Rieck
365
21
0
30 Jan 2023
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural
  Networks
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural NetworksConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Antoine Louis
Gijs van Dijck
Gerasimos Spanakis
AILaw
292
13
0
30 Jan 2023
Equivariant Architectures for Learning in Deep Weight Spaces
Equivariant Architectures for Learning in Deep Weight SpacesInternational Conference on Machine Learning (ICML), 2023
Aviv Navon
Aviv Shamsian
Idan Achituve
Ethan Fetaya
Gal Chechik
Haggai Maron
359
87
0
30 Jan 2023
WL meet VC
WL meet VC
Christopher Morris
Floris Geerts
Jan Tönshoff
Martin Grohe
322
32
0
26 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the
  Graph Structure
Graph Neural Networks can Recover the Hidden Features Solely from the Graph StructureInternational Conference on Machine Learning (ICML), 2023
Ryoma Sato
376
8
0
26 Jan 2023
A Structural Approach to the Design of Domain Specific Neural Network
  Architectures
A Structural Approach to the Design of Domain Specific Neural Network Architectures
Gerrit Nolte
161
0
0
23 Jan 2023
On the Expressive Power of Geometric Graph Neural Networks
On the Expressive Power of Geometric Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2023
Chaitanya K. Joshi
Cristian Bodnar
Simon Mathis
Taco Cohen
Pietro Liò
459
117
0
23 Jan 2023
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna
  Tuning
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna TuningIEEE/IFIP Network Operations and Management Symposium (NOMS), 2023
Maxime Bouton
Jaeseong Jeong
José Outes Carnero
Adriano Mendo
Alexandros Nikou
224
4
0
20 Jan 2023
Introducing Expertise Logic into Graph Representation Learning from A
  Causal Perspective
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective
Hang Gao
Jiangmeng Li
Jingyao Wang
Hui Xiong
Xingzhe Su
Feng Wu
Changwen Zheng
Gang Hua
196
0
0
20 Jan 2023
Everything is Connected: Graph Neural Networks
Everything is Connected: Graph Neural NetworksCurrent Opinion in Structural Biology (Curr. Opin. Struct. Biol.), 2023
Petar Velickovic
GNNAI4CE
251
252
0
19 Jan 2023
State of the Art and Potentialities of Graph-level Learning
State of the Art and Potentialities of Graph-level LearningACM Computing Surveys (ACM Comput. Surv.), 2023
Zhenyu Yang
Ge Zhang
Hongzhi Zhang
Jian Yang
Quan.Z Sheng
...
Charu C. Aggarwal
Hao Peng
Wenbin Hu
Edwin R. Hancock
Pietro Lio
GNNAI4CE
278
26
0
14 Jan 2023
Stretched and measured neural predictions of complex network dynamics
Stretched and measured neural predictions of complex network dynamics
V. Vasiliauskaite
Nino Antulov-Fantulin
487
1
0
12 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey
A Network Science perspective of Graph Convolutional Networks: A surveyIEEE Access (IEEE Access), 2023
Mingshan Jia
Bogdan Gabrys
Katarzyna Musial
GNN
275
14
0
12 Jan 2023
Unsupervised Learning for Combinatorial Optimization Needs Meta-Learning
Unsupervised Learning for Combinatorial Optimization Needs Meta-LearningInternational Conference on Learning Representations (ICLR), 2023
Hao Wang
Pan Li
206
20
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08 Jan 2023
Multi-Vehicle Trajectory Prediction at Intersections using State and
  Intention Information
Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information
Dekai Zhu
Qadeer Ahmad Khan
Zorah Lähner
198
1
0
06 Jan 2023
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across
  Networks via Regularized Representation Learning
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across Networks via Regularized Representation LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Li Liu
Peng Chen
Xuzhao Li
William K. Cheung
Youmin Zhang
Qun Liu
Guoyin Wang
132
16
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29 Dec 2022
A Generalization of ViT/MLP-Mixer to Graphs
A Generalization of ViT/MLP-Mixer to GraphsInternational Conference on Machine Learning (ICML), 2022
Xiaoxin He
Bryan Hooi
T. Laurent
Adam Perold
Yann LeCun
Xavier Bresson
268
122
0
27 Dec 2022
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature
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kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature LearningKnowledge Discovery and Data Mining (KDD), 2022
Menglin Yang
Min Zhou
Lujia Pan
Irwin King
288
25
0
04 Dec 2022
Autonomous Apple Fruitlet Sizing and Growth Rate Tracking using Computer
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Autonomous Apple Fruitlet Sizing and Growth Rate Tracking using Computer Vision
Harry Freeman
Mohamad Qadri
Abhisesh Silwal
Paul O'Connor
Zachary B. Rubinstein
D. Cooley
George Kantor
268
3
0
03 Dec 2022
AIO-P: Expanding Neural Performance Predictors Beyond Image
  Classification
AIO-P: Expanding Neural Performance Predictors Beyond Image ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2022
Keith G. Mills
Di Niu
Mohammad Salameh
Weichen Qiu
Fred X. Han
Puyuan Liu
Jialin Zhang
Wei Lu
Shangling Jui
293
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30 Nov 2022
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
GENNAPE: Towards Generalized Neural Architecture Performance EstimatorsAAAI Conference on Artificial Intelligence (AAAI), 2022
Keith G. Mills
Fred X. Han
Jialin Zhang
Fabián A. Chudak
A. Mamaghani
Mohammad Salameh
Wei Lu
Shangling Jui
Di Niu
261
9
0
30 Nov 2022
Weisfeiler and Leman Go Relational
Weisfeiler and Leman Go RelationalLOG IN (LOG IN), 2022
Pablo Barceló
Mikhail Galkin
Christopher Morris
Miguel Romero Orth
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172
33
0
30 Nov 2022
Towards Training GNNs using Explanation Directed Message Passing
Towards Training GNNs using Explanation Directed Message PassingLOG IN (LOG IN), 2022
V. Giunchiglia
Chirag Varun Shukla
Guadalupe Gonzalez
Chirag Agarwal
202
9
0
30 Nov 2022
On the Ability of Graph Neural Networks to Model Interactions Between
  Vertices
On the Ability of Graph Neural Networks to Model Interactions Between VerticesNeural Information Processing Systems (NeurIPS), 2022
Noam Razin
Tom Verbin
Nadav Cohen
390
17
0
29 Nov 2022
Beyond 1-WL with Local Ego-Network Encodings
Beyond 1-WL with Local Ego-Network Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
220
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27 Nov 2022
EurNet: Efficient Multi-Range Relational Modeling of Spatial
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Yuanfan Guo
Yi Xu
Jiangtao Tang
Xinlei Chen
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185
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Learnable Graph Convolutional Attention Networks
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21 Nov 2022
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test
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Yuwen Yang
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Exponentially Improving the Complexity of Simulating the
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Justin Y. Chen
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274
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