Efficient and Scalable Multiview Masked Autoencoder for Heterogeneous Graph Self-Supervised Learning.
Recent years have witnessed the flourishing of self-supervised learning (SSL) on heterogeneous graphs, e.g., masked autoencoder (MAE)-based methods. However, existing MAE-based methods mostly suffer from three issues, including the prohibitive computational cost of constructing meta-path-induced subgraphs, the limitati...