Local Community Detection
3 papers with code • 0 benchmarks • 0 datasets
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Latest papers
Random Walk on Multiple Networks
To take advantage of rich information in multiple networks and make better inferences on entities, in this study, we propose random walk on multiple networks, RWM.
Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection
Considering the complicated and diversified topology structures of real-world networks, it is highly possible that the mapping between the original network and the community membership space contains rather complex hierarchical information, which cannot be interpreted by classic shallow NMF-based approaches.
Generative models for local network community detection
By assuming that the network is uniform, we can approximate the structure of unobserved parts of the network to obtain a method for local community detection.