2022
Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning
AAAI 2022technical
Unsupervised graph-level representation learning plays a crucial role in a variety of tasks such as molecular property prediction and community analysis, especially when data annotation is expensive. Currently, most of the best-performing graph embedding methods are based on Infomax principle. The p…