Hypergraph convolutional neural network-based clustering technique

This paper constitutes the novel hypergraph convolutional neural networkbased clustering technique. technique is employed to solve problem for Citeseer dataset and Cora dataset. Each contains feature matrix incidence of (i.e., constructed from matrix). method utilizes both matrices. Initially, auto-encoders are transform high dimensional space low space. In end, we apply k-means transformed matrix. The network (CNN)-based presented a better result on performance during experiments than those other classical techniques.