Interpretable Node Representation with Attribute Decoding

Xiaohui Chen, Xi Chen, Li-Ping Liu

Abstract: Variational Graph Autoencoders (VGAEs) are powerful models for unsupervised learning of node representations from graph data. In this work, we make a systematic analysis of modeling node attributes...