Dynamic Node Embeddings From Edge Streams

IEEE Transactions on Emerging Topics in Computational Intelligence(2021)

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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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