RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. - Jianfei Zhang 002; Ai-Te Kuo; Jianan Zhao 002; Qianlong Wen; Erin L. Winstanley; Chuxu Zhang; Yanfang Ye 001 (CIKM, 2021)

Multi-view Self-supervised Heterogeneous Graph Embedding. - Jianan Zhao 002; Qianlong Wen; Shiyu Sun; Yanfang Ye 001; Chuxu Zhang (ECML/PKDD (2), 2021)

Gophormer: Ego-Graph Transformer for Node Classification. - Jianan Zhao 002; Chaozhuo Li; Qianlong Wen; Yiqi Wang 001; Yuming Liu; Hao Sun 015; Xing Xie 001; Yanfang Ye 001 (CoRR, 2021)

Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases. - Qianlong Wen; Ruoqi Liu; Ping Zhang 016 (BMC Medical Informatics Decis. Mak., 2021)

Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract). - Jianfei Zhang 002; Ai-Te Kuo; Jianan Zhao 002; Qianlong Wen; Erin L. Winstanley; Chuxu Zhang; Yanfang Ye 001 (IJCAI, 2022)

Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning. - Yiyue Qian; Yiming Zhang 002; Qianlong Wen; Yanfang Ye 001; Chuxu Zhang (KDD, 2022)

Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction. - Qianlong Wen; Zhongyu Ouyang; Jianfei Zhang 002; Yiyue Qian; Yanfang Ye 001; Chuxu Zhang (KDD, 2022)

Co-Modality Graph Contrastive Learning for Imbalanced Node Classification. - Yiyue Qian; Chunhui Zhang; Yiming Zhang 002; Qianlong Wen; Yanfang Ye 001; Chuxu Zhang (NeurIPS, 2022)

Adversarial Cross-View Disentangled Graph Contrastive Learning. - Qianlong Wen; Zhongyu Ouyang; Chunhui Zhang; Yiyue Qian; Yanfang Ye 001; Chuxu Zhang (CoRR, 2022)

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning. - Chunhui Zhang; Chao Huang 001; Yijun Tian 001; Qianlong Wen; Zhongyu Ouyang; Youhuan Li; Yanfang Ye 001; Chuxu Zhang (CoRR, 2022)

A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. - Qianlong Wen; Jiazheng Li 012; Chuxu Zhang; Yanfang Ye 001 (CIKM, 2023)

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. - Mingxuan Ju; Tong Zhao 003; Qianlong Wen; Wenhao Yu 002; Neil Shah; Yanfang Ye 001; Chuxu Zhang (ICLR, 2023)

When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. - Chunhui Zhang; Chao Huang 001; Yijun Tian 001; Qianlong Wen; Zhongyu Ouyang; Youhuan Li; Yanfang Ye 001; Chuxu Zhang (ICML, 2023)

Self-Supervised Graph Structure Refinement for Graph Neural Networks. - Jianan Zhao 002; Qianlong Wen; Mingxuan Ju; Chuxu Zhang; Yanfang Ye 001 (WSDM, 2023)

From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble. - Qianlong Wen; Mingxuan Ju; Zhongyu Ouyang; Chuxu Zhang; Yanfang Ye 001 (ICML, 2024)

GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning. - Qianlong Wen; Zhongyu Ouyang; Chunhui Zhang; Yiyue Qian; Chuxu Zhang; Yanfang Ye 001 (UAI, 2024)

Towards Human-like Preference Profiling in Sequential Recommendation. - Zhongyu Ouyang; Qianlong Wen; Chunhui Zhang; Yanfang Ye 001; Soroush Vosoughi (CoRR, 2025)