Learning Community Embedding with Community Detection and Node Embedding on Graphs

@inproceedings{Cavallari2017LearningCE,
  title={Learning Community Embedding with Community Detection and Node Embedding on Graphs},
  author={Sandro Cavallari and Vincent Wenchen Zheng and HongYun Cai and Kevin Chen-Chuan Chang and Erik Cambria},
  booktitle={CIKM},
  year={2017}
}
In this paper, we study an important yet largely under-explored setting of graph embedding, i.e., embedding communities instead of each individual nodes. We find that community embedding is not only useful for community-level applications such as graph visualization, but also beneficial to both community detection and node classification. To learn such embedding, our insight hinges upon a closed loop among community embedding, community detection and node embedding. On the one hand, node… CONTINUE READING
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