41 citations · 95 across the 19 of their papers we have counts for
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cs.SI2021★ 4 cited
SSSNET: Semi-Supervised Signed Network Clustering
Yixuan He, Gesine Reinert, Songchao Wang +1
Node embeddings are a powerful tool in the analysis of networks; yet, their full potential for the important task of node clustering has not been fully exploited. In particular, mo…
stat.ML2021
DIGRAC: Digraph Clustering Based on Flow Imbalance
Yixuan He, Gesine Reinert, Mihai Cucuringu
Node clustering is a powerful tool in the analysis of networks. We introduce a graph neural network framework, named DIGRAC, to obtain node embeddings for directed networks in a se…