Shuangli Li — accepted AI-conference papers

2024

Temporal Graph Contrastive Learning for Sequential Recommendation

Shengzhe Zhang, Liyi Chen, Chao Wang, Shuangli Li, Hui Xiong

AAAI 2024technical

Sequential recommendation is a crucial task in understanding users' evolving interests and predicting their future behaviors. While existing approaches on sequence or graph modeling to learn interaction sequences of users have shown promising performance, how to effectively exploit temporal informa…

Cited by 29 Source ↗PDF ↗Scholar ↗

2022

GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction

Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong

AAAI 2022technical

Recently many efforts have been devoted to applying graph neural networks (GNNs) to molecular property prediction which is a fundamental task for computational drug and material discovery. One of major obstacles to hinder the successful prediction of molecular property by GNNs is the scarcity of lab…

Cited by 149 Source ↗PDF ↗code ↗Scholar ↗