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SepNE: Bringing Separability to Network Embedding.

national conference on artificial intelligence, (2019)

Cited by: 9|Views58
EI

Abstract

Many successful methods have been proposed for learning low dimensional representations on large-scale networks, while almost all existing methods are designed in inseparable processes, learning embeddings for entire networks even when only a small proportion of nodes are of interest. This leads to great inconvenience, especially on super...More

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