Mining Frequent Patterns on Knowledge Graphs

被引：0

作者：

Mouatadid, Lalla ^{[1
]}

机构：

[1] Intuit Futures, Toronto, ON, Canada

来源：

WSDM'22: PROCEEDINGS OF THE FIFTEENTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING | 2022年

关键词：

Subgraph Mining; Labeled Graphs; Knowledge Graphs;

D O I：

10.1145/3488560.3510016

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The adoption of knowledge graphs is growing across various domains. And their construction, when automated, can result in verbose sparse graphs. In this talk, we discuss how to mine frequent patterns and subgraphs in a calculation knowledge graph in order to factor out verbose representations and allow for each of maintenance, reduction of storage, and an increase in runtime speed.

引用

页码：1647 / 1647

页数：1