Flexi-clique: Exploring Flexible and Sub-linear Clique Structures

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초록

Identifying cohesive subgraphs within networks is a fundamental problem in graph theory, relevant to various domains. The traditional clique problem, which finds fully connected subgraphs, often faces limitations due to its strict connectivity requirements. This paper introduces a novel degree-based relaxation model called Flexi-clique, where the degree constraint is adjusted sub-linearly based on the subgraph size. We establish that the maximum Flexi-clique problem is NP-hard and propose an efficient and effective peeling algorithm to address it. Our extensive experimental evaluation of real-world datasets demonstrates the effectiveness and efficiency of our approach in discovering large, cohesive subgraphs in networks.

키워드

graph miningcohesive subgraph discovery
제목
Flexi-clique: Exploring Flexible and Sub-linear Clique Structures
저자
Kim, SongKim, JunghoonYoon, SusikKim, Jungeun
DOI
10.1145/3627673.3679927
발행일
2024
유형
Proceedings Paper
저널명
PROCEEDINGS OF THE 33RD ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2024
페이지
3832 ~ 3836