Network Embedding by Resource-Allocation for Link Prediction

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Abstract

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.

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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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