volume 25, issue 2, P483-503 2021
DOI: 10.3233/ida-195065
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Nianwen Ning, Yilin Yang, Chenguang Song, Bin Wu

Abstract: Network Embedding (NE) has emerged as a powerful tool in many applications. Many real-world networks have multiple types of relations between the same entities, which are appropriate to be modeled as multiplex networks. However, at random walk-based embedding study for multiplex networks, very little attention has been paid to the problems of sampling bias and imbalanced relation types. In this paper, we propose an Adaptive Node Embedding Framework (ANEF) based on cross-layer sampling strategies of nodes for m…

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