Extracting Top-$k$ Frequent and Diversified Patterns in Knowledge Graphs-Reference-Cited by-同舟云学术

Extracting Top-$k$ Frequent and Diversified Patterns in Knowledge Graphs

Published:2023 Issue: Volume: Page:1-18
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Zeng Jian¹^ORCID,U Leong Hou²^ORCID,Yan Xiao³,Li Yan⁴,Han Mingji⁵,Tang Bo³^ORCID

Affiliation:

1. Harbin Institute of Technology, Harbin, China

2. Department of Computer and Information Science, State Key Laboratory of Internet of Things for Smart City, Centre for Data Science, University of Macau, Macau, China

3. Department of Computer Science and Engineering, Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China

4. Shenzhen Polytechnic, Shenzhen, China

5. Boston University, Boston, MA, USA

Funder

National Key Research and Development Plan of China

Science, Technology and Innovation Commission of Shenzhen Municipality

Basic and Applied Basic Research Foundation of Guangdong Province

Research Foundation of Shenzhen Polytechnic

Science and Technology Development Fund Macau SAR

Research Grant of University of Macau

Wuyi University Hong Kong and Macau joint Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)