Decentralized Graph Neural Network for Privacy-Preserving Recommendation

no code implementations • 15 Aug 2023 • Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang

The first stage builds a local inner-item hypergraph for each user and a global inter-user graph.

graph construction Privacy Preserving +1

Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks

no code implementations • 15 Aug 2023 • Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian

In the model training, we propose a novel graph convolutional method named HLGCN, which leverages both high-pass and low-pass filters to deal with conversion and non-conversion relationships.