Qianlong Wen

According to our database, Qianlong Wen authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Self-Supervised Graph Structure Refinement for Graph Neural Networks.

Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations.

Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang

Proceedings of the International Conference on Machine Learning, 2023

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.

Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data.

Qianlong Wen, Jiazheng Li, Chuxu Zhang, Yanfang Ye

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning.

Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang

CoRR, 2022

Adversarial Cross-View Disentangled Graph Contrastive Learning.

Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang

CoRR, 2022

Co-Modality Graph Contrastive Learning for Imbalanced Node Classification.

Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction.

Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning.

Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract).

Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases.

Qianlong Wen, Ruoqi Liu, Ping Zhang

BMC Medical Informatics Decis. Mak., 2021

Gophormer: Ego-Graph Transformer for Node Classification.

Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye

CoRR, 2021

Multi-view Self-supervised Heterogeneous Graph Embedding.

Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

RxNet: Rx-refill Graph Neural Network for Overprescribing Detection.

Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021