The invention discloses a heterogeneous network link prediction method suitable for a scientific cooperation network, and the method comprises the following steps of: acquiring scientific cooperation data, and constructing a heterogeneous scientific cooperation network; carrying out neighbor node sampling on the heterogeneous scientific cooperation network; performing neighbor information aggregation on the sampled neighbor nodes; carrying out training and learning on the heterogeneous scientific cooperation network to obtain heterogeneous network representation; taking an alignment product of the representation vectors of the nodes at the two ends of the connecting edge as a representation vector of the connecting edge, and training a binary classifier by using the corresponding connecting edge; predicting whether an unknown link exists or not by adopting the binary classifier; if the existing unknown link is the author-author link, indicating that two authors will cooperate to write an article in the future, and if the existing unknown link is the author-thesis link, indicating that one author will quote a certain article in the future. The method has a good effect in predicting author cooperation and article quotation by authors.
Heterogeneous network link prediction method suitable for scientific cooperation network