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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Vydané v:	IEEE transaction on neural networks and learning systems Ročník 36; číslo 6; s. 9758 - 9776
Hlavní autori:	Pham, Phu, Bui, Quang-Thinh, Thanh Nguyen, Ngoc, Kozma, Robert, Yu, Philip S., Vo, Bay
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.06.2025
Predmet:	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
On-line prístup:	Získať plný text
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