4 citations · 4 across the 4 of their papers we have counts for
4 papers
Causality Enhancement for Cross-Domain Recommendation
Zhibo Wu, Yunfan Wu, Lin Jiang +2
Cross-domain recommendation forms a crucial component in recommendation systems. It leverages auxiliary information through source domain tasks or features to enhance target domain…
GemiRec: Interest Quantization and Generation for Multi-Interest Recommendation
Zhibo Wu, Yunfan Wu, Quan Liu +3
Multi-interest recommendation has gained attention, especially in industrial retrieval stage. Unlike classical dual-tower methods, it generates multiple user representations instea…
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast
Linpu Jiang, Ke-Jia Chen, Jingqiang Chen
Self-supervised learning on graphs has recently drawn a lot of attention due to its independence from labels and its robustness in representation. Current studies on this topic mai…
Pre-Training on Dynamic Graph Neural Networks
Ke-jia Chen, Jiajun Zhang, Linpu Jiang +2
The pre-training on the graph neural network model can learn the general features of large-scale networks or networks of the same type by self-supervised methods, which allows the…