2023
Self-supervised Graph Neural Networks via Low-Rank Decomposition
NeurIPS 2023poster
Self-supervised learning is introduced to train graph neural networks (GNNs) by employing propagation-based GNNs designed for semi-supervised learning tasks. Unfortunately, this common choice tends to cause two serious issues. Firstly, global parameters cause the model lack the ability to capture th…