Maximal Directed Quasi -Clique Mining
Author:
Affiliation:
1. The University of Alabama at Birmingham
2. Nanyang Technological University
3. University of Florida
4. Auburn University
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9835153/9835154/09835181.pdf?arnumber=9835181
Reference58 articles.
1. On mining cross-graph quasi-cliques
2. On the maximum quasi-clique problem
3. Effective Pruning Techniques for Mining Quasi-Cliques
4. Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications
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1. DeepDense: Enabling node embedding to dense subgraph mining;Expert Systems with Applications;2024-03
2. Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach;Proceedings of the ACM on Management of Data;2023-11-13
3. Accelerating k-Core Decomposition by a GPU;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04
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