I didn’t find any example in the DGL document. But I want to use the graph auto-encoder algorithm to realize unsupervised learning. Maybe there are some examples in the document, can anybody give me a simple one to understand how is DGL working on graph auto-encoder?
Could you provide a reference paper?
Adversarially Regularized Graph Autoencoder for Graph Embedding
One2Multi Graph Autoencoder for Multi-view Graph Clustering
The No.1 paper demonstrates a classical and practical method.
Here is an implementation for Graph Autoencoder by Kipf & Welling in DGL. Maybe you will find it helpful.
Thanks for your reply, I have notice that repo, but I can not reimplement it due to the dataset structure.
Actually, I’m looking forward an official version of Graph Auto-encoder.
Can you elaborate more about the data structure issue?