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- W2807208410 abstract "We present a novel hierarchical graph clustering algorithm inspired by modularity-based clustering techniques. The algorithm is agglomerative and based on a simple distance between clusters induced by the probability of sampling node pairs. We prove that this distance is reducible, which enables the use of the nearest-neighbor chain to speed up the agglomeration. The output of the algorithm is a regular dendrogram, which reveals the multi-scale structure of the graph. The results are illustrated on both synthetic and real datasets." @default.
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- W2807208410 date "2018-08-20" @default.
- W2807208410 modified "2023-10-14" @default.
- W2807208410 title "Hierarchical Graph Clustering using Node Pair Sampling" @default.
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