Télécharger le livre :  Advances in Graph Neural Networks
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This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation...

Editeur : Springer
Parution : 2022-11-16
Collection : Synthesis Lectures on Data Mining and Knowledge Discovery
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63,29
Télécharger le livre :  Heterogeneous Graph Representation Learning and Applications
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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,...

Editeur : Springer
Parution : 2022-01-30
Collection : Artificial Intelligence: Foundations, Theory, and Algorithms
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158,24
Télécharger le livre :  Heterogeneous Information Network Analysis and Applications
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This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field. It provides a comprehensive survey of current developments of heterogeneous information network. It also presents the newest...

Editeur : Springer
Parution : 2017-05-25

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137,14