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

DOI retrieved: December 2, 2024

Additional Info

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