Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering. - Yunhui Liu 002; Tieke He; Qing Wu; Tao Zheng; Jianhua Zhao (CIKM, 2024)

Bootstrap Latents of Nodes and Neighbors for Graph Self-supervised Learning. - Yunhui Liu 002; Huaisong Zhang; Tieke He; Tao Zheng; Jianhua Zhao (ECML/PKDD (3), 2024)

Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference. - Yunhui Liu 002; Xinyi Gao 001; Tieke He; Jianhua Zhao; Hongzhi Yin (CoRR, 2024)

Reliable Node Similarity Matrix Guided Contrastive Graph Clustering. - Yunhui Liu 002; Xinyi Gao 001; Tieke He; Tao Zheng; Jianhua Zhao; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2024)

Norm Augmented Graph AutoEncoders for Link Prediction. - Yunhui Liu 002; Huaisong Zhang; Xinyi Gao 001; Liuye Guo; Zhen Tao; Tieke He (ICASSP, 2025)

Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains. - Yunhui Liu 002; Qizhuo Xie; Jinwei Shi; Jiaxu Shen; Tieke He (WWW (Companion Volume), 2025)

Negative-Free Self-Supervised Gaussian Embedding of Graphs. - Yunhui Liu 002; Tieke He; Tao Zheng; Jianhua Zhao (Neural Networks, 2025)

Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-wise Multi-View Ensemble Distillation. - Yunhui Liu 002; Zhen Tao; Xiang Zhao; Jianhua Zhao; Tao Zheng; Tieke He (CoRR, 2025)

Norm Augmented Graph AutoEncoders for Link Prediction. - Yunhui Liu 002; Huaisong Zhang; Xinyi Gao 001; Liuye Guo; Tao Zheng; Tieke He (CoRR, 2025)

A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection. - Yunhui Liu 002; Jiashun Cheng; Jia Li 009; Fugee Tsung; Hongzhi Yin; Tieke He (CoRR, 2025)