graphs-6

Community Search

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

Keyword Aware Influential Community Search in Large Attributed Graphs

Yong-Bin Kang, Md. Saiful Islam, Mohammed Eunus Ali, T. Sellis, F. Choudhury•Tue Dec 03 2019

A novel word-embedding based similarity model that enables semantic community search, which substantially alleviates the limitations of exact keyword based community search is proposed and a new influence measure for a community that considers both the cohesiveness and influence of the community and eliminates the need for specifying values of internal parameters of a network.

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A Survey on Machine Learning Solutions for Graph Pattern Extraction

Chenhao Ma, Reynold Cheng, Kai Siong Yow, Ningyi Liao, Siqiang Luo, Xiaolin Han•Sat Apr 02 2022

A comprehensive review on five well known subgraph problems that have been tackled by using machine learning methods, including subgraph isomorphism (both counting and matching), maximum common subgraph, community detection and community search problems.

3 0

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CS-TGN: Community Search via Temporal Graph Neural Networks

Ali Behrouz, Farnoosh Hashemi, Milad Rezaei Hajidehi•Tue Mar 14 2023

CS-TGN first combines the local query-dependent structure and the global graph embedding in each snapshot of the network and then uses a GRU cell with contextual attention to learn the dynamics of interactions and update node embeddings over time.

19 0

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