2 papers
cs.LG2024
GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation
Yundong Sun, Dongjie Zhu, Yansong Wang +1
Graph Neural Networks (GNNs) have emerged as the most powerful weapon for various graph tasks due to the message-passing mechanism's great local information aggregation ability. Ho…
cs.LG2021
CCasGNN: Collaborative Cascade Prediction Based on Graph Neural Networks
Yansong Wang, Xiaomeng Wang, Tao Jia
Cascade prediction aims at modeling information diffusion in the network. Most previous methods concentrate on mining either structural or sequential features from the network and…