Graph Neural Network Operators: a Review

Graph Neural Networks (GNN) is one of the promising machine learning areas in solving real world problems such as social networks, recommender systems, computer vision and pattern recognition. One of the important component of GNN is GNN operators which are responsible to train GNN graph structured...

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Veröffentlicht in:	Multimedia tools and applications Jg. 83; H. 8; S. 23413 - 23436
Hauptverfasser:	Sharma, Anuj, Singh, Sukhdeep, Ratna, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2024 Springer Nature B.V
Schlagworte:	Algorithms Classification Computer Communication Networks Computer Science Computer vision Data Structures and Information Theory Datasets Graph neural networks Graphs Machine learning Multimedia Multimedia Information Systems Neural networks Operators (mathematics) Pattern recognition R&D Recommender systems Research & development Social networks Special Purpose and Application-Based Systems Structured data GNN convolutional operators Deep learning Graph structural representation Graph neural networks
ISSN:	1573-7721, 1380-7501, 1573-7721
Online-Zugang:	Volltext
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