3 papers
cs.SI2024
Score-based Generative Diffusion Models for Social Recommendations
Chengyi Liu, Jiahao Zhang, Shijie Wang +2
With the prevalence of social networks on online platforms, social recommendation has become a vital technique for enhancing personalized recommendations. The effectiveness of soci…
cs.LG2024
Graph Unlearning with Efficient Partial Retraining
Jiahao Zhang, Lin Wang, Shijie Wang +1
Graph Neural Networks (GNNs) have achieved remarkable success in various real-world applications. However, GNNs may be trained on undesirable graph data, which can degrade their pe…
cs.IR2024
Linear-Time Graph Neural Networks for Scalable Recommendations
Jiahao Zhang, Rui Xue, Wenqi Fan +4
In an era of information explosion, recommender systems are vital tools to deliver personalized recommendations for users. The key of recommender systems is to forecast users' futu…