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2020 – today
- 2024
[c2]Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang:
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. NeurIPS 2024- [i6]Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang:
Neural Scaling Laws on Graphs. CoRR abs/2402.02054 (2024) - [i5]Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang:
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. CoRR abs/2406.10727 (2024) - [i4]Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu:
A Pure Transformer Pretraining Framework on Text-attributed Graphs. CoRR abs/2406.13873 (2024) - [i3]Shoujin Huang, Guanxiong Luo, Yuwan Wang, Kexin Yang, Lingyan Zhang, Jingzhe Liu, Hua Guo, Min Wang, Mengye Lyu:
Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors. CoRR abs/2407.21600 (2024) - [i2]Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma:
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning? CoRR abs/2408.11243 (2024) - [i1]Jingzhe Liu, Haitao Mao, Zhikai Chen, Wenqi Fan, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang:
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs. CoRR abs/2412.00315 (2024) - 2022
- [c1]Jingzhe Liu, Peng Wu
:
Penalty Prediction Based on Modulated Hierarchical Attention Coupled with Legal Attribute Recognition. IEEE Big Data 2022: 1880-1885
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