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Paperback Heterogeneous Graph Representation Learning and Applications Book
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ISBN: 9811661685

ISBN13: 9789811661686

Heterogeneous Graph Representation Learning and Applications

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Book Overview

Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but also the need to consider heterogeneous...

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Computers Computers & Technology

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