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Fine-Grained Expressive Power of Weisfeiler-Leman: A Homomorphism
  Counting Perspective

Fine-Grained Expressive Power of Weisfeiler-Leman: A Homomorphism Counting Perspective

4 October 2024
Junru Zhou
Muhan Zhang
ArXiv (abs)PDFHTML

Papers citing "Fine-Grained Expressive Power of Weisfeiler-Leman: A Homomorphism Counting Perspective"

7 / 7 papers shown
Title
From Relational Pooling to Subgraph GNNs: A Universal Framework for More
  Expressive Graph Neural Networks
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
Cai Zhou
Xiyuan Wang
Muhan Zhang
55
15
0
08 May 2023
Boosting the Cycle Counting Power of Graph Neural Networks with
  I$^2$-GNNs
Boosting the Cycle Counting Power of Graph Neural Networks with I2^22-GNNs
Yinan Huang
Xingang Peng
Jianzhu Ma
Muhan Zhang
114
48
0
22 Oct 2022
How Powerful are K-hop Message Passing Graph Neural Networks
How Powerful are K-hop Message Passing Graph Neural Networks
Jiarui Feng
Yixin Chen
Fuhai Li
Anindya Sarkar
Muhan Zhang
51
108
0
26 May 2022
On the equivalence between graph isomorphism testing and function
  approximation with GNNs
On the equivalence between graph isomorphism testing and function approximation with GNNs
Zhengdao Chen
Soledad Villar
Lei Chen
Joan Bruna
93
282
0
29 May 2019
Provably Powerful Graph Networks
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
133
582
0
27 May 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
194
1,643
0
04 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
257
7,695
0
01 Oct 2018
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