共 50 条
- [1] Mining Bursting Core in Large Temporal Graphs PROCEEDINGS OF THE VLDB ENDOWMENT, 2022, 15 (13): : 3911 - 3923
- [2] Finding Early Bursting Cohesive Subgraphs in Large Temporal Networks 2021 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, INTERNET OF PEOPLE, AND SMART CITY INNOVATIONS (SMARTWORLD/SCALCOM/UIC/ATC/IOP/SCI 2021), 2021, : 264 - 271
- [4] LGM: Mining Frequent Subgraphs from Linear Graphs ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II: 15TH PACIFIC-ASIA CONFERENCE, PAKDD 2011, 2011, 6635 : 26 - 37
- [5] Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2018, : 2779 - 2786
- [6] Mining evolving patterns of connection subgraphs over evolving graphs Ruan Jian Xue Bao/Journal of Software, 2010, 21 (05): : 1007 - 1019
- [7] Mining Highly Reliable Dense Subgraphs from Uncertain Graphs KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 13 (06): : 2986 - 2999
- [9] Mining Statistically Significant Connected Subgraphs in Vertex Labeled Graphs SIGMOD'14: PROCEEDINGS OF THE 2014 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2014, : 1003 - 1014
- [10] A METHOD FOR FINDING EXTREMAL SUBGRAPHS IN BIPARTITE GRAPHS SOVIET JOURNAL OF COMPUTER AND SYSTEMS SCIENCES, 1987, 25 (01): : 85 - 91