Info2vec: an aggregative representation method in multi-layer and heterogeneous networks
Mapping nodes in multi-layer and heterogeneous networks to low-dimensional vectors has wide applications in community detection, node classification and link prediction, etc. In this paper, a generalized graph representation learning framework is proposed for information aggregation in various multi...
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Main Authors: | Yang, Guoli, Kang, Yuanji, Zhu, Xianqiang, Zhu, Cheng, Xiao, Gaoxi |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/159519 |
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Institution: | Nanyang Technological University |
Language: | English |
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