Yizhen Zheng

According to our database, Yizhen Zheng authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

Improving Augmentation Consistency for Graph Contrastive Learning.

Weixin Bu, Xiaofeng Cao, Yizhen Zheng, Shirui Pan

Pattern Recognit., April, 2024

Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective.

Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang

Inf. Sci., February, 2024

Integrating Graphs With Large Language Models: Methods and Prospects.

Shirui Pan, Yizhen Zheng, Yixin Liu

IEEE Intell. Syst., 2024

2023

A survey on fairness-aware recommender systems.

Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan

Inf. Fusion, December, 2023

Large Language Models for Scientific Synthesis, Inference and Explanation.

Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan

CoRR, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan

Proceedings of the ACM Web Conference 2023, 2023

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs.

Yizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan

Proceedings of the International Conference on Machine Learning, 2023

PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection.

Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan

Proceedings of the IEEE International Conference on Data Mining, 2023

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating.

Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination.

Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu

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

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.

Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan

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

Unifying Graph Contrastive Learning with Flexible Contextual Scopes.

Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming.

Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li

CoRR, 2021

Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction.

Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning.

Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021