Portable network resolving huge-graph isomorphism problem

The graph isomorphism, as a key task in graph data analysis, is of great significance for the understanding, feature extraction, and pattern recognition of graph data. The best performance of traditional methods is the quasi-polynomial time complexity, which is infeasible for huge graphs. This paper...

Full description

Bibliographic Details
Main Authors: Xin An, Ling-Fang Li, Xue Yang, Ming-Xing Luo
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Machine Learning: Science and Technology
Subjects:
Online Access:https://doi.org/10.1088/2632-2153/ad7d5f