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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 / 876 papers shown
Title
Computing Graph Descriptors on Edge Streams
Computing Graph Descriptors on Edge Streams
Zohair Raza Hassan
Sarwan Ali
Imdadullah Khan
Mudassir Shabbir
W. Abbas
179
7
0
02 Sep 2021
From Statistical Relational to Neurosymbolic Artificial Intelligence: a
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From Statistical Relational to Neurosymbolic Artificial Intelligence: a SurveyArtificial Intelligence (AI), 2021
Giuseppe Marra
Sebastijan Dumancic
Robin Manhaeve
Luc de Raedt
NAI
331
93
0
25 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
222
48
0
24 Aug 2021
Pooling Architecture Search for Graph Classification
Pooling Architecture Search for Graph ClassificationInternational Conference on Information and Knowledge Management (CIKM), 2021
Lan Wei
Huan Zhao
Quanming Yao
Zhiqiang He
AI4CE
195
81
0
24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive
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Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark StudyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tianlong Chen
Kaixiong Zhou
Keyu Duan
Wenqing Zheng
Peihao Wang
Helen Zhou
Zinan Lin
AAMLGNN
133
73
0
24 Aug 2021
Integrating Transductive And Inductive Embeddings Improves Link
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Integrating Transductive And Inductive Embeddings Improves Link Prediction AccuracyInternational Conference on Information and Knowledge Management (CIKM), 2021
Chitrank Gupta
Yash Jain
A. De
Soumen Chakrabarti
AI4CE
157
8
0
23 Aug 2021
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia
  Segmentation in CT Images
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images
Haozhe Jia
Haoteng Tang
Guixiang Ma
Weidong (Tom) Cai
Heng-Chiao Huang
Chen Tang
Yong-quan Xia
125
7
0
09 Aug 2021
You too Brutus! Trapping Hateful Users in Social Media: Challenges,
  Solutions & Insights
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights
Mithun Das
Punyajoy Saha
Ritam Dutt
Pawan Goyal
Animesh Mukherjee
Binny Mathew
102
24
0
01 Aug 2021
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks
Ego-GNNs: Exploiting Ego Structures in Graph Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Dylan Sandfelder
Priyesh Vijayan
William L. Hamilton
172
28
0
22 Jul 2021
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion
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MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in ConversationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Jingwen Hu
Yuchen Liu
Jinming Zhao
Qin Jin
233
297
0
14 Jul 2021
Generalization of graph network inferences in higher-order graphical
  models
Generalization of graph network inferences in higher-order graphical models
Yicheng Fei
Xaq Pitkow
210
0
0
12 Jul 2021
Partition and Code: learning how to compress graphs
Partition and Code: learning how to compress graphs
Giorgos Bouritsas
Andreas Loukas
Nikolaos Karalias
M. Bronstein
191
19
0
05 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Akila Pemasiri
Clinton Fookes
L. Petersson
GNNAI4CE
244
132
0
01 Jul 2021
Graph Convolutional Memory using Topological Priors
Graph Convolutional Memory using Topological Priors
Steven D. Morad
Stephan Liwicki
Ryan Kortvelesy
R. Mecca
Amanda Prorok
79
2
0
27 Jun 2021
Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets
Pruning Edges and Gradients to Learn Hypergraphs from Larger SetsLOG IN (LOG IN), 2021
David W. Zhang
Gertjan J. Burghouts
Cees G. M. Snoek
196
4
0
26 Jun 2021
Weisfeiler and Lehman Go Cellular: CW Networks
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Cristian Bodnar
Fabrizio Frasca
N. Otter
Yu Guang Wang
Pietro Lio
Guido Montúfar
M. Bronstein
GNN
289
278
0
23 Jun 2021
Graph coarsening: From scientific computing to machine learning
Graph coarsening: From scientific computing to machine learningSeMA Journal (SeMA), 2021
Jie Chen
Y. Saad
Zecheng Zhang
157
46
0
22 Jun 2021
Large-Scale Chemical Language Representations Capture Molecular
  Structure and Properties
Large-Scale Chemical Language Representations Capture Molecular Structure and PropertiesNature Machine Intelligence (Nat. Mach. Intell.), 2021
Jerret Ross
Brian M. Belgodere
Vijil Chenthamarakshan
Inkit Padhi
Youssef Mroueh
Payel Das
AI4CE
230
427
0
17 Jun 2021
On the approximation capability of GNNs in node
  classification/regression tasks
On the approximation capability of GNNs in node classification/regression tasks
Giuseppe Alessio D’Inverno
Monica Bianchini
M. Sampoli
F. Scarselli
361
15
0
16 Jun 2021
Node Classification Meets Link Prediction on Knowledge Graphs
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Ralph Abboud
.Ismail .Ilkan Ceylan
117
3
0
14 Jun 2021
Graph Neural Networks with Local Graph Parameters
Graph Neural Networks with Local Graph ParametersNeural Information Processing Systems (NeurIPS), 2021
Pablo Barceló
Floris Geerts
Juan L. Reutter
Maksimilian Ryschkov
145
78
0
12 Jun 2021
Scalars are universal: Equivariant machine learning, structured like
  classical physics
Scalars are universal: Equivariant machine learning, structured like classical physicsNeural Information Processing Systems (NeurIPS), 2021
Soledad Villar
D. Hogg
Kate Storey-Fisher
Weichi Yao
Ben Blum-Smith
PINNAI4CE
309
149
0
11 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the
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Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing PatternsKnowledge Discovery and Data Mining (KDD), 2021
Susheel Suresh
Vinith Budde
Jennifer Neville
Pan Li
Jianzhu Ma
215
160
0
11 Jun 2021
Is Homophily a Necessity for Graph Neural Networks?
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Yao Ma
Xiaorui Liu
Neil Shah
Shucheng Zhou
198
271
0
11 Jun 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
Adversarial Graph Augmentation to Improve Graph Contrastive LearningNeural Information Processing Systems (NeurIPS), 2021
Susheel Suresh
Pan Li
Cong Hao
Jennifer Neville
AAML
340
408
0
10 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via
  Historical Embeddings
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical EmbeddingsInternational Conference on Machine Learning (ICML), 2021
Matthias Fey
J. E. Lenssen
F. Weichert
J. Leskovec
GNN
158
144
0
10 Jun 2021
Breaking the Limits of Message Passing Graph Neural Networks
Breaking the Limits of Message Passing Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2021
M. Balcilar
Pierre Héroux
Benoit Gaüzère
Pascal Vasseur
Sébastien Adam
P. Honeine
211
152
0
08 Jun 2021
Rethinking Graph Transformers with Spectral Attention
Rethinking Graph Transformers with Spectral AttentionNeural Information Processing Systems (NeurIPS), 2021
Devin Kreuzer
Dominique Beaini
William L. Hamilton
Vincent Létourneau
Prudencio Tossou
410
682
0
07 Jun 2021
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate
  Prediction
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate PredictionKnowledge Discovery and Data Mining (KDD), 2021
Fengtong Xiao
Lin Li
Weinan Xu
Jingyu Zhao
Xiaofeng Yang
Jun Lang
Hao Wang
113
14
0
07 Jun 2021
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug
  Discovery
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug DiscoveryInternational Conference on Learning Representations (ICLR), 2021
Yulun Wu
Mikaela Cashman
Nicholas Choma
E. Prates
V. G. M. Vergara
...
M. Head
Rick L. Stevens
Peter Nugent
Daniel A. Jacobson
James B. Brown
GNN
395
10
0
04 Jun 2021
Causal Effect Inference for Structured Treatments
Causal Effect Inference for Structured TreatmentsNeural Information Processing Systems (NeurIPS), 2021
Jean Kaddour
Yuchen Zhu
Qi Liu
Matt J. Kusner
Ricardo M. A. Silva
CML
464
53
0
03 Jun 2021
NeRP: Neural Rearrangement Planning for Unknown Objects
NeRP: Neural Rearrangement Planning for Unknown Objects
A. H. Qureshi
Arsalan Mousavian
Chris Paxton
Michael C. Yip
Dieter Fox
204
66
0
02 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules
GemNet: Universal Directional Graph Neural Networks for MoleculesNeural Information Processing Systems (NeurIPS), 2021
Johannes Klicpera
Florian Becker
Stephan Günnemann
AI4CE
935
537
0
02 Jun 2021
Relational Reasoning Networks
Relational Reasoning NetworksKnowledge-Based Systems (KBS), 2021
G. Marra
Michelangelo Diligenti
Francesco Giannini
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252
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Node-Variant Graph Filters in Graph Neural Networks
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Fernando Gama
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Somayeh Sojoudi
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0
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Relational Graph Neural Network Design via Progressive Neural
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Ailing Zeng
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Qiang Xu
177
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0
30 May 2021
Hashing-Accelerated Graph Neural Networks for Link Prediction
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Wei Wu
Bin Li
Chuan Luo
Wolfgang Nejdl
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132
48
0
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Local, global and scale-dependent node roles
Local, global and scale-dependent node rolesInternational Conference on Autonomic and Autonomous Systems (ICAAS), 2021
Michael Scholkemper
Michael T. Schaub
41
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Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Revisiting 2D Convolutional Neural Networks for Graph-based ApplicationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yecheng Lyu
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Ziming Zhang
GNN
140
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0
23 May 2021
Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse
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T. Dash
Harshvardhan Mestha
A. Baskar
156
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0
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Generative Adversarial Neural Architecture Search
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Fred X. Han
Di Niu
Mohammad Salameh
Keith G. Mills
Shuo Lian
Wei Lu
Shangling Jui
99
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0
19 May 2021
Neural Trees for Learning on Graphs
Neural Trees for Learning on GraphsNeural Information Processing Systems (NeurIPS), 2021
Rajat Talak
Siyi Hu
Lisa Peng
Luca Carlone
234
27
0
15 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with
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The Power of the Weisfeiler-Leman Algorithm for Machine Learning with GraphsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Christopher Morris
Matthias Fey
Nils M. Kriege
GNN
149
26
0
12 May 2021
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
UniGNN: a Unified Framework for Graph and Hypergraph Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Jing Huang
Jie Yang
AI4CEGNN
193
229
0
03 May 2021
The Logic of Graph Neural Networks
The Logic of Graph Neural NetworksLogic in Computer Science (LICS), 2021
Martin Grohe
AI4CE
171
104
0
29 Apr 2021
MEG: Generating Molecular Counterfactual Explanations for Deep Graph
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MEG: Generating Molecular Counterfactual Explanations for Deep Graph NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2021
Danilo Numeroso
D. Bacciu
139
45
0
16 Apr 2021
AutoGL: A Library for Automated Graph Learning
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Ziwei Zhang
Yijian Qin
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Beini Xie
Yang Yao
Yipeng Zhang
Xin Eric Wang
Wenwu Zhu
309
31
0
11 Apr 2021
Scaling up graph homomorphism for classification via sampling
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P. Beaujean
F. Sikora
Florian Yger
93
3
0
08 Apr 2021
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph
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Qingqing Long
Yilun Jin
Yi Wu
Guojie Song
265
41
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Improving the Expressive Power of Graph Neural Network with Tinhofer
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Alan J. X. Guo
Qing-Hu Hou
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05 Apr 2021
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