We gratefully acknowledge support from
the Simons Foundation and member institutions.
Full-text links:

Download:

Current browse context:

cs.OH

Change to browse by:

References & Citations

DBLP - CS Bibliography

Bookmark

(what is this?)
CiteULike logo BibSonomy logo Mendeley logo del.icio.us logo Digg logo Reddit logo

Computer Science > Other Computer Science

Title: Is 3-(F)WL Enough to Distinguish All 3D Graphs?

Authors: Wanghan Xu
Abstract: The problem of graph isomorphism is an important but challenging problem in the field of graph analysis, for example: analyzing the similarity of two chemical molecules, or studying the expressive ability of graph neural networks. WL test is a method to judge whether two graphs are isomorphic, but it cannot distinguish all non-isomorphic graphs. As an improvement of WL, k-WL has stronger isomorphism discrimination ability, and as k increases, its discrimination ability is strictly increasing. However, whether the isomorphic discrimination power of k-WL is strictly increasing for more complex 3D graphs, or whether there exists k that can discriminate all 3D graphs, remains unexplored. This paper attempts to explore this problem from the perspective of graph generation.
Subjects: Other Computer Science (cs.OH); Artificial Intelligence (cs.AI)
Cite as: arXiv:2402.08429 [cs.OH]
  (or arXiv:2402.08429v1 [cs.OH] for this version)

Submission history

From: Wanghan Xu [view email]
[v1] Wed, 24 Jan 2024 06:22:08 GMT (1090kb,D)

Link back to: arXiv, form interface, contact.