Zheng, Yizhen

8 publications

AAAI 2025 A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui Pan

IJCAI 2025 M2LLM: Multi-View Molecular Representation Learning with Large Language Models Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan

NeurIPS 2025 ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models Zhuo Chen, Yizhen Zheng, Huan Yee Koh, Hongxin Xiang, Linjiang Chen, Wenjie Du, Yang Wang

AAAI 2023 Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan

ICML 2023 Finding the Missing-Half: Graph Complementary Learning for Homophily-Prone and Heterophily-Prone Graphs Yizhen Zheng, He Zhang, Vincent Lee, Yu Zheng, Xiao Wang, Shirui Pan

IJCAI 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

NeurIPS 2022 Rethinking and Scaling up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng, Shirui Pan, Vincent CS Lee, Yu Zheng, Philip S Yu

IJCAI 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