Graph neural networks for network analysis

Graph neural networks for network analysis

<p>With an increasing number of applications where data can be represented as graphs, graph neural networks (GNNs) are a useful tool to apply deep learning to graph data. Signed and directed networks are important forms of networks that are linked to many real-world problems, such as ranking f...

Podrobná bibliografie
Hlavní autor:	He, Y
Další autoři:	Dong, X
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	2024
Témata:	Neural networks (computer science) Deep learning (machine learning) Machine learning Graph theory Social sciences > network analysis

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