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Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN
  Expressiveness

Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness

16 January 2024
Bohang Zhang
Jingchu Gai
Yiheng Du
Qiwei Ye
Di He
Liwei Wang
ArXivPDFHTML

Papers citing "Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness"

3 / 3 papers shown
Title
Higher-Order Topological Directionality and Directed Simplicial Neural Networks
Higher-Order Topological Directionality and Directed Simplicial Neural Networks
M. Lecha
Andrea Cavallo
Francesca Dominici
Elvin Isufi
Claudio Battiloro
AI4CE
146
2
0
17 Jan 2025
Revisiting Random Walks for Learning on Graphs
Revisiting Random Walks for Learning on Graphs
Jinwoo Kim
Olga Zaghen
Ayhan Suleymanzade
Youngmin Ryou
Seunghoon Hong
48
0
0
01 Jul 2024
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
36
19
0
16 Aug 2023
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