1. Semi-supervised classification with graph convolutional networks;Kipf,2017
2. Attributed graph clustering: a deep attentional embedding approach;Wang,2019
3. Lightgcn: simplifying and powering graph convolution network for recommendation;He,2020
4. Unsupervised deep embedding for clustering analysis;Xie,2016
5. Robust deep k-means: an effective and simple method for data clustering;Huang;Pattern Recognit.,2021