Jingzhe Liu

According to our database, Jingzhe Liu authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs.

Jingzhe Liu, Haitao Mao, Zhikai Chen, Wenqi Fan, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang

CoRR, 2024

Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?

Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma

CoRR, 2024

Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors.

Shoujin Huang, Guanxiong Luo, Yuwan Wang, Kexin Yang, Lingyan Zhang, Jingzhe Liu, Hua Guo, Min Wang, Mengye Lyu

CoRR, 2024

A Pure Transformer Pretraining Framework on Text-attributed Graphs.

Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu

CoRR, 2024

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.

Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang

CoRR, 2024

Neural Scaling Laws on Graphs.

Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang

CoRR, 2024

2022

Penalty Prediction Based on Modulated Hierarchical Attention Coupled with Legal Attribute Recognition.

Jingzhe Liu, Peng Wu

Proceedings of the IEEE International Conference on Big Data, 2022