Zhongyu Pan

DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction

Dynamic link prediction (DLP) is a crucial task in graph learning, aiming to predict future links between nodes at subsequent time in dynamic graphs. Recently, graph masked autoencoders (GMAEs) have shown promising performance in self-supervised learning. However, their application to DLP is under-e