摘要
1Introduction and main contributions In the field of social networks and knowledge graphs,semi-supervised learning models based on graph convolutional networks have achieved great success in node classification[1],inductive node embedding[2],link prediction[3],and recommend.These semi-supervised models based on graph convolutional network(GCN)[4]expect to obtain more feature information of a graph or accelerate the training.
基金
the National Natural Science Foundation of China(Grant Nos.61272209,61872164)
in part by the Program of Science and Technology Development Plan of Jilin Province of China(20190302032GX)
in part by the Fundamental Research Funds for the Central Universities(Jilin University).
