Non-Euclidean Mixture Model for Social Network Embedding

Neural Information Processing Systems 

It is largely agreed that social network links are formed due to either homophily or social influence. Inspired by this, we aim at understanding the generation of links via providing a novel embedding-based graph formation model.

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