A Self-Attention Network based Node Embedding Model

22 Jun 2020Dai Quoc NguyenTu Dinh NguyenDinh Phung

Despite several signs of progress have been made recently, limited research has been conducted for an inductive setting where embeddings are required for newly unseen nodes -- a setting encountered commonly in practical applications of deep learning for graph networks. This significantly affects the performances of downstream tasks such as node classification, link prediction or community extraction... (read more)

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