The invention discloses an author migration classification method for a scientific cooperation heterogeneous network, and the method comprises the following steps of: acquiring scientific cooperation data, and constructing a heterogeneous scientific cooperation network; classifying each conference in the heterogeneous scientific cooperation network according to themes, and grouping each author according to the conference category to which the paper published by the author belongs; carrying out neighbor node sampling on the heterogeneous scientific cooperation network; conducting neighbor information aggregation on the sampled neighbor nodes; carrying out training and learning on the heterogeneous scientific cooperation network to obtain heterogeneous network representation; training an author classifier using the training dataset representing vectors and categories by the author; and classifying the trained author classifier for unknown authors. According to the method, sampling of direct neighbor nodes and indirect neighbor nodes is realized based on meta-paths, and meanwhile, migration classification of authors has a relatively good effect by adopting multiple information modes.
Author migration classification method for scientific cooperation heterogeneous network