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graph clustering

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papersTODAY 04:00 UTC

Neighborhood Smoothing Method Achieves Exact Community Recovery in Directed Stochastic Block Models

Researchers present a technique for exactly recovering communities in sparse directed stochastic block models by smoothing estimated outgoing connection-probability profiles before clustering vertices. The approach targets graphs where edges carry direction and connections are rare relative to the number of possible pairs. The work is a revised preprint posted on arXiv.

graph-learning/clustering/arxiv/network-analysis