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Unsupervised Graph Embedding via Adaptive Graph Learning

Graph autoencoders (GAEs) are powerful tools in representation learning for graph embedding. However, the performance of GAEs is very dependent on the quality of the graph structure, i.e., of the adjacency matrix.

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Cite this as

Rui Zhang, Yunxing Zhang, Xuelong Li (2024). Dataset: Unsupervised Graph Embedding via Adaptive Graph Learning. https://doi.org/10.57702/y14v74wc

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2003.04508
Author	Rui Zhang
More Authors	Yunxing Zhang Xuelong Li
Homepage	https://ieeexplore.ieee.org/document/