Graph Clustering via Variational Graph Embedding

Lin Guo, Qun Dai

Abstract: Highlights•GC-VGE exploits GCN and applies it to the proposed graph variational auto-encoder.•A joint generative model is constructed for acquiring an embedding space with high information content.•GC-VGE takes advantage of the topological structure and node features of the graph.•GC-VGE simultaneously performs graph embedding and optimizes graph nodes clustering.•GC-VGE utilizes a self-supervised mechanism.