In network embedding, the analysis of the relationship between nodes has a great influence on the link prediction. In this paper, we re-examine the role of network topology in predicting missing links from the perspective of node embedding, and proposed a practical algorithm based on the resource allocation of nodes in network. Experiments on six different data sets show that this method has better performance in link prediction than other methods.
CITATION STYLE
Song, X., Yang, C., Zhang, H., Zhao, X., & Li, B. (2019). Network Embedding by Resource-Allocation for Link Prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11671 LNAI, pp. 673–683). Springer Verlag. https://doi.org/10.1007/978-3-030-29911-8_52
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