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Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. (arXiv:2201.11251v1 [cs.LG])
Web: http://arxiv.org/abs/2201.11251
Jan. 28, 2022, 2:11 a.m. | Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin
cs.LG updates on arXiv.org arxiv.org
Subgraph matching is a fundamental problem in various fields that use graph
structured data. Subgraph matching algorithms enumerate all isomorphic
embeddings of a query graph q in a data graph G. An important branch of
matching algorithms exploit the backtracking search approach which recursively
extends intermediate results following a matching order of query vertices. It
has been shown that the matching order plays a critical role in time efficiency
of these backtracking based subgraph matching algorithms. In recent years, many …
More from arxiv.org / cs.LG updates on arXiv.org
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