Community Detection In Knowledge Graph Network With Matrix Factorization Learning

Recently, knowledge graph is one of most hot topics in artificial intelligence research area, we may find that data in knowledge graph analysis shows vast network structure features. In this paper, we investigate some main methods of current network analysis and community detection tasks related with knowledge graph and semantic network. Comparing with relevant network community detection methods in various semantic network data, our matrix factorization learning method achieves good performance for community detection.