Link prediction is an essential and challenging problem in research on complex networks, which can provide tools theoretical supports for the formation evolutionary mechanisms of networks. Existing graph representation learning methods based random walks usually ignore influence local network topology transition probability walking nodes when predicting existence links, sampling strategy during...