Efficient Maximum Signed Biclique Identification
Author:
Affiliation:
1. East China Normal University,China
2. University of Wollongong,Australia
3. The University of New South Wales,Australia
4. University of Technology Sydney,Australia
5. Shanghai Jiaotong University,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10184508/10184509/10184682.pdf?arnumber=10184682
Reference43 articles.
1. Real-time constrained cycle detection in large dynamic graphs
2. On finding the maximum edge biclique in a bipartite graph: a subspace clustering approach
3. Efficient Mining of Large Maximal Bicliques
4. Approximating Clique and Biclique Problems
5. Balance in Signed Bipartite Networks
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1. Efficient Maximal Biclique Enumeration on Large Signed Bipartite Graphs;IEEE Transactions on Knowledge and Data Engineering;2024-09
2. Clique Identification in Signed Graphs: A Balance Theory Based Model;IEEE Transactions on Knowledge and Data Engineering;2023-12-01
3. Balanced Hop-Constrained Path Enumeration in Signed Directed Graphs;Lecture Notes in Computer Science;2023-11-07
4. Efficient Maximum Relative Fair Clique Computation in Attributed Graphs;Lecture Notes in Computer Science;2023-11-07
5. Maximum Fairness-Aware (k, r)-Core Identification in Large Graphs;Lecture Notes in Computer Science;2023-11-07
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