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 : Design of Ultra-Low Power Impulse Radios
Alyssa Apsel , Rajeev Dokania , Xiao Wang
Design of Ultra-Low Power Impulse Radios
This book covers the fundamental principles behind the design of ultra-low power radios and how they can form networks to facilitate a variety of applications within healthcare and environmental monitoring, since they may operate for years off a small battery or even...
Editeur : Springer
Parution : 2013-10-29
Collection : Analog Circuits and Signal Processing
Format(s) : ePub
94,94 €
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