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2004.02593
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Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
International Conference on Machine Learning (ICML), 2020
6 April 2020
Floris Geerts
Filip Mazowiecki
Guillermo A. Pérez
GNN
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Papers citing
"Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework"
28 / 28 papers shown
Layer-diverse Negative Sampling for Graph Neural Networks
Wei Duan
Jie Lu
Yu Guang Wang
Junyu Xuan
300
17
0
18 Mar 2024
Weisfeiler-Leman at the margin: When more expressivity matters
International Conference on Machine Learning (ICML), 2024
Billy J. Franks
Christopher Morris
A. Velingker
Floris Geerts
551
15
0
12 Feb 2024
Investigating the Interplay between Features and Structures in Graph Learning
Daniele Castellana
Federico Errica
358
5
0
18 Aug 2023
Fine-grained Expressivity of Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2023
Jan Böker
Ron Levie
Ningyuan Huang
Soledad Villar
Christopher Morris
400
29
0
06 Jun 2023
Framelet Message Passing
Applied and Computational Harmonic Analysis (ACHA), 2023
Xinliang Liu
Bingxin Zhou
Chutian Zhang
Yu Guang Wang
296
5
0
28 Feb 2023
Curvature Filtrations for Graph Generative Model Evaluation
Neural Information Processing Systems (NeurIPS), 2023
Joshua Southern
Jeremy Wayland
Michael M. Bronstein
Bastian Rieck
539
24
0
30 Jan 2023
WL meet VC
Christopher Morris
Floris Geerts
Jan Tönshoff
Martin Grohe
355
36
0
26 Jan 2023
Non-IID Transfer Learning on Graphs
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jun Wu
Jingrui He
Elizabeth Ainsworth
OOD
447
61
0
15 Dec 2022
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Wei Duan
Junyu Xuan
Maoying Qiao
Jie Lu
366
26
0
05 Dec 2022
Weisfeiler and Leman Go Relational
LOG IN (LOG IN), 2022
Pablo Barceló
Mikhail Galkin
Christopher Morris
Miguel Romero Orth
GNN
193
35
0
30 Nov 2022
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Neural Information Processing Systems (NeurIPS), 2022
Noam Razin
Tom Verbin
Nadav Cohen
477
17
0
29 Nov 2022
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2022
Anders Aamand
Justin Y. Chen
Piotr Indyk
Shyam Narayanan
R. Rubinfeld
Nicholas Schiefer
Sandeep Silwal
Tal Wagner
310
26
0
06 Nov 2022
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
AAAI Conference on Artificial Intelligence (AAAI), 2022
Wei Duan
Junyu Xuan
Maoying Qiao
Jie Lu
SSL
222
54
0
03 Oct 2022
The PWLR Graph Representation: A Persistent Weisfeiler-Lehman scheme with Random Walks for Graph Classification
S. Park
Y. Choi
Dosang Joe
U. J. Choi
Youngho Woo
145
3
0
29 Aug 2022
Ordered Subgraph Aggregation Networks
Neural Information Processing Systems (NeurIPS), 2022
Chao Qian
Gaurav Rattan
Floris Geerts
Christopher Morris
Mathias Niepert
443
75
0
22 Jun 2022
Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
Neural Information Processing Systems (NeurIPS), 2022
Nils M. Kriege
338
22
0
22 May 2022
Theory of Graph Neural Networks: Representation and Learning
Stefanie Jegelka
GNN
AI4CE
298
84
0
16 Apr 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
International Conference on Machine Learning (ICML), 2022
Christopher Morris
Gaurav Rattan
Sandra Kiefer
Siamak Ravanbakhsh
408
46
0
25 Mar 2022
Weisfeiler and Leman go Machine Learning: The Story so far
Journal of machine learning research (JMLR), 2021
Christopher Morris
Y. Lipman
Haggai Maron
Bastian Rieck
Nils M. Kriege
Martin Grohe
Matthias Fey
Karsten Borgwardt
GNN
560
139
0
18 Dec 2021
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
652
94
0
01 Oct 2021
Geometric Deep Learning on Molecular Representations
Nature Machine Intelligence (Nat. Mach. Intell.), 2021
Kenneth Atz
F. Grisoni
G. Schneider
AI4CE
601
379
0
26 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
ACM Computing Surveys (CSUR), 2021
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Bo Pan
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
745
40
0
21 Jul 2021
Graph Neural Networks with Local Graph Parameters
Neural Information Processing Systems (NeurIPS), 2021
Pablo Barceló
Floris Geerts
Juan L. Reutter
Maksimilian Ryschkov
189
79
0
12 Jun 2021
Dispatcher: A Message-Passing Approach To Language Modelling
A. Cetoli
164
0
0
09 May 2021
The expressive power of kth-order invariant graph networks
Floris Geerts
390
42
0
23 Jul 2020
Building powerful and equivariant graph neural networks with structural message-passing
Clément Vignac
Andreas Loukas
P. Frossard
364
136
0
26 Jun 2020
Walk Message Passing Neural Networks and Second-Order Graph Neural Networks
Floris Geerts
254
8
0
16 Jun 2020
How hard is to distinguish graphs with graph neural networks?
Andreas Loukas
GNN
427
7
0
13 May 2020
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