Dynamic Node Embeddings From Edge Streams
IEEE Transactions on Emerging Topics in Computational Intelligence(2021)
摘要
Networks evolve continuously over time with the addition, deletion, and changing of links and nodes. Such temporal networks (or edge streams) consist of a sequence of timestamped edges and are seemingly ubiquitous. Despite the importance of accurately modeling the temporal information, most embedding methods ignore it entirely or approximate the temporal network using a sequence of static snapshot...
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Electronic mail,Diseases,Computational intelligence,Real-time systems,Predictive models,Indexes,Machine learning
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