Dynamic Heterogeneous Graph Representation Learning: A Survey
This survey presents the first systematic review of DHG representation learning methods and proposes a novel algorithm-centric taxonomy that categorizes existing literature, including early embedding-based approaches, graph neural network (GNN)-based models, and relatively recent Transformer-based DHG methods, while ex...
Huan Liu, Peng-Fei Jiao, Jie Yin et al.
· Proceedings of the Thirty-Fi... · 0 citations