3 résultat(s)
Télécharger le livre : Advances in Graph Neural Networks
Chuan Shi , Xiao Wang , Cheng Yang
Advances in Graph Neural Networks
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

Format(s) : PDF, ePub
63,29 €
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Télécharger le livre : Heterogeneous Graph Representation Learning and Applications
Chuan Shi , Xiao Wang , Philip S. Yu
Heterogeneous Graph Representation Learning and Applications
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
Format(s) : PDF, ePub
158,24 €
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Télécharger le livre : Heterogeneous Information Network Analysis and Applications
Chuan Shi , Philip S. Yu
Heterogeneous Information Network Analysis and Applications
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

Format(s) : PDF, ePub
137,14 €
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