GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction Shijin Duan Ruyi Ding

Neural Information Processing Systems 

Graph autoencoders (GAEs), in particular, reconstruct graph structures from node embeddings. Additionally, we propose the GraphCroc, a new GAE that supports flexible encoder architectures tailored for various downstream tasks and ensures robust structural reconstruction, through a mirrored encoding-decoding process.