Predicting miRNA-Disease Associations via Node-Level Attention Graph Auto-Encoder. - Huizhe Zhang; Juntao Fang; Yuping Sun; Guobo Xie; Zhiyi Lin; Guosheng Gu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

GNAEMDA: Microbe-Drug Associations Prediction on Graph Normalized Convolutional Network. - Haonan Huang; Yuping Sun; Meijing Lan; Huizhe Zhang; Guobo Xie (IEEE J. Biomed. Health Informatics, 2023)

Signal Power Estimation of All Sensor Network Nodes With Measurements From a Subset of Network Nodes. - Zhaoting Liu; Huizhe Zhang; Chunguang Li 001; Feng Xi; Duanpo Wu; Yingbiao Yao; Yinan Zhao (IEEE Trans. Aerosp. Electron. Syst., 2023)

A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. - Jintang Li; Huizhe Zhang; Ruofan Wu; Zulun Zhu; Baokun Wang; Changhua Meng; Zibin Zheng; Liang Chen 001 (ICLR, 2024)

FastGCL: Fast Self-Supervised Graph Learning for Service Understanding. - Huizhe Zhang; Wangbin Sun; Liang Chen (ICWS, 2024)

SGHormer: An Energy-Saving Graph Transformer Driven by Spikes. - Huizhe Zhang; Jintang Li; Liang Chen 001; Zibin Zheng (CoRR, 2024)

Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective. - Jintang Li; Ruofan Wu; Yuchang Zhu; Huizhe Zhang; Xinzhou Jin; Guibin Zhang; Zulun Zhu; Zibin Zheng; Liang Chen 001 (CoRR, 2024)

Measuring Diversity in Synthetic Datasets. - Yuchang Zhu; Huizhe Zhang; Bingzhe Wu; Jintang Li; Zibin Zheng; Peilin Zhao; Liang Chen 001; Yatao Bian (CoRR, 2025)

Are Large Language Models In-Context Graph Learners? - Jintang Li; Ruofan Wu; Yuchang Zhu; Huizhe Zhang; Liang Chen 001; Zibin Zheng (CoRR, 2025)

GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector Quantization. - Huizhe Zhang; Jintang Li; Yuchang Zhu; Liang Chen 001; Zibin Zheng (CoRR, 2025)

SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding. - Yuchang Zhu; Jintang Li; Huizhe Zhang; Liang Chen 001; Zibin Zheng (CoRR, 2025)

Heterophily-Aware Representation Learning on Heterogeneous Graphs. - Jintang Li; Zheng Wei; Yuchang Zhu; Ruofan Wu; Huizhe Zhang; Liang Chen 001; Zibin Zheng (IEEE Trans. Pattern Anal. Mach. Intell., 2025)