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Local Community Detection

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection

Zibin Zheng, Chuan Chen, Fanghua Ye•Tue Oct 16 2018

Inspired by the unique feature representation learning capability of deep autoencoder, a novel model, named Deep Autoencoding-like NMF (DANMF), is proposed, named DANMF, for community detection, which can achieve better performance than the state-of-the-art NMF-based community detection approaches.

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Generative models for local network community detection

T. V. Laarhoven•Wed Apr 11 2018

This paper starts from a generative model for networks with a community structure, and finds that by assuming that the network is uniform, it can approximate the structure of the unobserved parts of the network to obtain a method for local community detection.

5 0

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Random Walk on Multiple Networks

Dongsheng Luo, Xiang Zhang, Yuchen Bian, Yaowei Yan, Xiong Yu, Jun Huan, Xiao Liu•Mon Jul 03 2023

Comprehensive experiments conducted on both synthetic and real-world datasets demonstrate the effectiveness and efficiency of the proposed random walk on multiple networks using inline-formula in link prediction, network embedding, and local community detection.

5 0

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