Huizhe Zhang

According to our database, Huizhe Zhang authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

Heterophily-Aware Representation Learning on Heterogeneous Graphs.

Jintang Li, Zheng Wei, Yuchang Zhu, Ruofan Wu, Huizhe Zhang, Liang Chen, Zibin Zheng

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding.

Yuchang Zhu, Jintang Li, Huizhe Zhang, Liang Chen, Zibin Zheng

CoRR, June, 2025

GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector Quantization.

Huizhe Zhang, Jintang Li, Yuchang Zhu, Liang Chen, Zibin Zheng

CoRR, April, 2025

Are Large Language Models In-Context Graph Learners?

Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Liang Chen, Zibin Zheng

CoRR, February, 2025

Measuring Diversity in Synthetic Datasets.

Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian

CoRR, February, 2025

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

CoRR, 2024

SGHormer: An Energy-Saving Graph Transformer Driven by Spikes.

Huizhe Zhang, Jintang Li, Liang Chen, Zibin Zheng

CoRR, 2024

FastGCL: Fast Self-Supervised Graph Learning for Service Understanding.

Huizhe Zhang, Wangbin Sun, Liang Chen

Proceedings of the IEEE International Conference on Web Services, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Signal Power Estimation of All Sensor Network Nodes With Measurements From a Subset of Network Nodes.

Zhaoting Liu, Huizhe Zhang, Chunguang Li, Feng Xi, Duanpo Wu, Yingbiao Yao, Yinan Zhao

IEEE Trans. Aerosp. Electron. Syst., December, 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, March, 2023

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