Sunyoung Kwon

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning

2021 · ArXiv.org

In recent years, graph neural networks (GNNs) have been widely adopted in the representation learning of graph-structured data and provided state-of-the-art performance in various applications such as link prediction, node classification, and recommendation. Motivated by …