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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
Solving AC Power Flow with Graph Neural Networks under Realistic
  Constraints
Solving AC Power Flow with Graph Neural Networks under Realistic Constraints
Luis Bottcher
Hinrikus Wolf
Bastian Jung
Philipp Lutat
M. Trageser
Oliver Pohl
Andreas Ulbig
Martin Grohe
377
16
0
14 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey
Graph Neural Networks Designed for Different Graph Types: A Survey
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
525
31
0
06 Apr 2022
Comparative Survey of Multigraph Integration Methods for Holistic Brain
  Connectivity Mapping
Comparative Survey of Multigraph Integration Methods for Holistic Brain Connectivity Mapping
Nada Chaari
H. Camgöz-Akdag
I. Rekik
132
8
0
05 Apr 2022
A Survey on Graph Representation Learning Methods
A Survey on Graph Representation Learning MethodsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Shima Khoshraftar
A. An
GNNAI4TS
339
194
0
04 Apr 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits
  of One-shot Graph Generators
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph GeneratorsInternational Conference on Machine Learning (ICML), 2022
Karolis Martinkus
Andreas Loukas
Nathanael Perraudin
Roger Wattenhofer
242
92
0
04 Apr 2022
A Survey on Machine Learning Solutions for Graph Pattern Extraction
A Survey on Machine Learning Solutions for Graph Pattern Extraction
Kai Siong Yow
Ningyi Liao
Siqiang Luo
Reynold Cheng
Chenhao Ma
Xiaolin Han
371
3
0
03 Apr 2022
Dimensionless machine learning: Imposing exact units equivariance
Dimensionless machine learning: Imposing exact units equivarianceJournal of machine learning research (JMLR), 2022
Soledad Villar
Weichi Yao
D. Hogg
Ben Blum-Smith
Bianca Dumitrascu
263
30
0
02 Apr 2022
Graph-in-Graph (GiG): Learning interpretable latent graphs in
  non-Euclidean domain for biological and healthcare applications
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Kamilia Mullakaeva
Luca Cosmo
Anees Kazi
Seyed-Ahmad Ahmadi
Nassir Navab
Michael M. Bronstein
201
12
0
01 Apr 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNNAI4CE
273
148
0
29 Mar 2022
Instance Relation Graph Guided Source-Free Domain Adaptive Object
  Detection
Instance Relation Graph Guided Source-Free Domain Adaptive Object DetectionComputer Vision and Pattern Recognition (CVPR), 2022
VS Vibashan
Poojan Oza
Vishal M. Patel
411
98
0
29 Mar 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
SpeqNets: Sparsity-aware Permutation-equivariant Graph NetworksInternational Conference on Machine Learning (ICML), 2022
Christopher Morris
Gaurav Rattan
Sandra Kiefer
Siamak Ravanbakhsh
327
43
0
25 Mar 2022
Semi-Supervised Graph Learning Meets Dimensionality Reduction
Semi-Supervised Graph Learning Meets Dimensionality ReductionInternational Conference on Machine Learning and Applications (ICMLA), 2022
Alex Morehead
Watchanan Chantapakul
Jianlin Cheng
127
1
0
23 Mar 2022
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification
Zhaohui Wang
Qi Cao
Huawei Shen
Bingbing Xu
Xueqi Cheng
244
3
0
22 Mar 2022
Graph Representation Learning with Individualization and Refinement
Graph Representation Learning with Individualization and Refinement
Mohammed Haroon Dupty
W. Lee
147
4
0
17 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph
  Classification
Incorporating Heterophily into Graph Neural Networks for Graph ClassificationIEEE International Conference on Systems, Man and Cybernetics (SMC), 2022
Jiayi Yang
Sourav Medya
Wei Ye
250
6
0
15 Mar 2022
Towards Neural Sparse Linear Solvers
Towards Neural Sparse Linear Solvers
Luca Grementieri
P. Galeone
122
7
0
14 Mar 2022
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets
Yu Shi
Shuxin Zheng
Guolin Ke
Yifei Shen
Jiacheng You
Jiyan He
Shengjie Luo
Yu Xie
Di He
Tie-Yan Liu
AI4CE
241
85
0
09 Mar 2022
Graph Representation Learning Beyond Node and Homophily
Graph Representation Learning Beyond Node and HomophilyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
You Li
Bei Lin
Binli Luo
Ning Gui
SSL
180
19
0
03 Mar 2022
A Simple and Universal Rotation Equivariant Point-cloud Network
A Simple and Universal Rotation Equivariant Point-cloud Network
Ben Finkelshtein
Chaim Baskin
Haggai Maron
Nadav Dym
3DPC
434
15
0
02 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph
  Neural Networks
Equivariant and Stable Positional Encoding for More Powerful Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2022
Hongya Wang
Haoteng Yin
Muhan Zhang
Pan Li
730
133
0
01 Mar 2022
An Empirical Study of Graphormer on Large-Scale Molecular Modeling Datasets
Yu Shi
Shuxin Zheng
Guolin Ke
Yifei Shen
Jiacheng You
Jiyan He
Shengjie Luo
Yu Xie
Di He
Tie-Yan Liu
AI4CE
238
0
0
28 Feb 2022
Algorithm and System Co-design for Efficient Subgraph-based Graph
  Representation Learning
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation LearningProceedings of the VLDB Endowment (PVLDB), 2022
Haoteng Yin
Muhan Zhang
Yanbang Wang
Jianguo Wang
Pan Li
166
44
0
28 Feb 2022
Distribution Preserving Graph Representation Learning
Distribution Preserving Graph Representation Learning
Chengsheng Mao
Yuan Luo
143
0
0
27 Feb 2022
Directed Graph Auto-Encoders
Directed Graph Auto-EncodersAAAI Conference on Artificial Intelligence (AAAI), 2022
Georgios Kollias
Vasileios Kalantzis
Tsuyoshi Idé
A. Lozano
Naoki Abe
BDLGNN
215
45
0
25 Feb 2022
Message passing all the way up
Message passing all the way up
Petar Velickovic
317
72
0
22 Feb 2022
Ligandformer: A Graph Neural Network for Predicting Compound Property
  with Robust Interpretation
Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation
Jinjiang Guo
Qi Liu
Han Guo
Xi Lu
AI4CE
131
5
0
21 Feb 2022
1-WL Expressiveness Is (Almost) All You Need
1-WL Expressiveness Is (Almost) All You NeedIEEE International Joint Conference on Neural Network (IJCNN), 2022
Markus Zopf
104
13
0
21 Feb 2022
What Functions Can Graph Neural Networks Generate?
What Functions Can Graph Neural Networks Generate?
Mohammad Fereydounian
Hamed Hassani
Amin Karbasi
191
5
0
17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey
Data Augmentation for Deep Graph Learning: A SurveySIGKDD Explorations (SIGKDD Explor.), 2022
Kaize Ding
Zhe Xu
Hanghang Tong
Huan Liu
OODGNN
321
268
0
16 Feb 2022
Instance-wise algorithm configuration with graph neural networks
Instance-wise algorithm configuration with graph neural networks
Romeo Valentin
Claudio Ferrari
Jérémy Scheurer
Andisheh Amrollahi
Chris Wendler
Max B. Paulus
110
5
0
10 Feb 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and
  Oversmoothing in GNNs
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNsNeural Information Processing Systems (NeurIPS), 2022
Cristian Bodnar
Francesco Di Giovanni
B. Chamberlain
Pietro Lio
Michael M. Bronstein
445
216
0
09 Feb 2022
Structure-Aware Transformer for Graph Representation Learning
Structure-Aware Transformer for Graph Representation LearningInternational Conference on Machine Learning (ICML), 2022
Dexiong Chen
Leslie O’Bray
Karsten Borgwardt
366
315
0
07 Feb 2022
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed
  Tissue Samples
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue SamplesAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022
Natalia Garcia Martin
S. Malacrino
M. Wojciechowska
L. Campo
Helen Jones
...
Chris Holmes
K. Sirinukunwattana
H. Sailem
C. Verrill
J. Rittscher
102
5
0
01 Feb 2022
Generalization Analysis of Message Passing Neural Networks on Large
  Random Graphs
Generalization Analysis of Message Passing Neural Networks on Large Random GraphsNeural Information Processing Systems (NeurIPS), 2022
Sohir Maskey
Ron Levie
Yunseok Lee
Gitta Kutyniok
GNN
660
62
0
01 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial
  Pre-Colorings
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings
Or Feldman
A. Boyarski
Shai Feldman
D. Kogan
A. Mendelson
Chaim Baskin
176
17
0
31 Jan 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
MGNN: Graph Neural Networks Inspired by Distance Geometry ProblemKnowledge Discovery and Data Mining (KDD), 2022
Guanyu Cui
Zhewei Wei
169
12
0
31 Jan 2022
A Theoretical Comparison of Graph Neural Network Extensions
A Theoretical Comparison of Graph Neural Network ExtensionsInternational Conference on Machine Learning (ICML), 2022
Pál András Papp
Roger Wattenhofer
221
51
0
30 Jan 2022
Discovering Invariant Rationales for Graph Neural Networks
Discovering Invariant Rationales for Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2022
Yingmin Wu
Xiang Wang
An Zhang
Xiangnan He
Tat-Seng Chua
OODAI4CE
340
285
0
30 Jan 2022
Graph Representation Learning via Aggregation Enhancement
Graph Representation Learning via Aggregation Enhancement
Maxim Fishman
Chaim Baskin
Evgenii Zheltonozhskii
Almog David
Ron Banner
A. Mendelson
308
0
0
30 Jan 2022
Neural Approximation of Graph Topological Features
Neural Approximation of Graph Topological FeaturesNeural Information Processing Systems (NeurIPS), 2022
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
250
18
0
28 Jan 2022
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous
  Edge-Centric GNNs
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNsDesign, Automation and Test in Europe (DATE), 2022
Zhe Lin
Zike Yuan
Jieru Zhao
Wei Zhang
Hui Wang
Yonghong Tian
90
26
0
25 Jan 2022
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph
  Matching
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph MatchingIEEE International Conference on Data Engineering (ICDE), 2022
Hanchen Wang
Ying Zhang
Lu Qin
Wei Wang
Weinan Zhang
Xuemin Lin
209
25
0
25 Jan 2022
On Evaluation Metrics for Graph Generative Models
On Evaluation Metrics for Graph Generative ModelsInternational Conference on Learning Representations (ICLR), 2022
Rylee Thompson
Boris Knyazev
Elahe Ghalebi
Jungtaek Kim
Graham W. Taylor
EGVM
313
56
0
24 Jan 2022
How Expressive are Transformers in Spectral Domain for Graphs?
How Expressive are Transformers in Spectral Domain for Graphs?
Anson Bastos
Abhishek Nadgeri
Kuldeep Singh
Toyotaro Suzumura
Toyotaro Suzumura
I. Mulang'
246
16
0
23 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph
  HyperNetworks
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
Or Litany
Haggai Maron
David Acuna
Jan Kautz
Gal Chechik
Sanja Fidler
FedML
215
30
0
20 Jan 2022
A Cognitive Explainer for Fetal ultrasound images classifier Based on
  Medical Concepts
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts
Ying-Shuai Wanga
Yunxia Liua
Licong Dongc
Xuzhou Wua
Huabin Zhangb
Qiongyu Yed
Desheng Sunc
Xiaobo Zhoue
Kehong Yuan
271
0
0
19 Jan 2022
A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants
A Short Tutorial on The Weisfeiler-Lehman Test And Its VariantsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Ningyuan Huang
Soledad Villar
253
79
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18 Jan 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation
  via Cross-Region Transfer
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region TransferACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Vinayak Gupta
Srikanta J. Bedathur
204
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16 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and
  Directions
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
Xin Wang
Ziwei Zhang
Haoyang Li
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313
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KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
KerGNNs: Interpretable Graph Neural Networks with Graph KernelsAAAI Conference on Artificial Intelligence (AAAI), 2022
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Chenyu You
Maroun Touma
Leandros Tassiulas
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212
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0
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