Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives

For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The root cause of this challenge comes from the difficulties in building, extracting, and integrating TDA construct...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 36; H. 6; S. 9758 - 9776
Hauptverfasser:	Pham, Phu, Bui, Quang-Thinh, Thanh Nguyen, Ngoc, Kozma, Robert, Yu, Philip S., Vo, Bay
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.06.2025
Schlagworte:	Data analysis Data mining Data structures Deep learning (DL) Electronic mail Feature extraction graph filtration graph neural network (GNN) Graph neural networks Learning systems persistent homology (PH) Representation learning Surveys Taxonomy topological data analysis (TDA) topological representation learning
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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