,

Jinghan Meng1, Yi-Cheng Tu1

  • 1Department of Computer Science & Engineering, University of South Florida.

Proceedings. ACM-SIGMOD International Conference on Management of Data
|March 1, 2024
PubMed
概括

本研究引入了用于图形挖掘的新超图框架,统一了现有的支持措施,并提出了新的最小实例 (MI) 和最小顶点覆盖 (MVC) 措施,以在单个图形中更有效地发现频繁的模式.