Penalty Prediction Based on Modulated Hierarchical Attention Coupled with Legal Attribute Recognition. - Jingzhe Liu; Peng Wu 013 (IEEE Big Data, 2022)

Towards Neural Scaling Laws on Graphs. - Jingzhe Liu; Haitao Mao; Zhikai Chen; Tong Zhao 003; Neil Shah; Jiliang Tang (LoG, 2024)

Do Neural Scaling Laws Exist on Graph Self-Supervised Learning? - Qian Ma 012; Haitao Mao; Jingzhe Liu; Zhehua Zhang; Chunlin Feng; Yu Song; Yihan Shao; Yao Ma 001 (LoG, 2024)

A Pure Transformer Pretraining Framework on Text-Attributed Graphs. - Yu Song; Haitao Mao; Jiachen Xiao; Jingzhe Liu; Zhikai Chen; Wei Jin 009; Carl Yang 001; Jiliang Tang; Hui Liu 031 (LoG, 2024)

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. - Zhikai Chen; Haitao Mao; Jingzhe Liu; Yu Song; Bingheng Li; Wei Jin 009; Bahare Fatemi; Anton Tsitsulin; Bryan Perozzi; Hui Liu 031; Jiliang Tang (NeurIPS, 2024)

Neural Scaling Laws on Graphs. - Jingzhe Liu; Haitao Mao; Zhikai Chen; Tong Zhao 003; Neil Shah; Jiliang Tang (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)

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 003; Neil Shah; Jiliang Tang (CoRR, 2024)

Unveiling Mode Connectivity in Graph Neural Networks. - Bingheng Li; Zhikai Chen; Haoyu Han 001; Shenglai Zeng; Jingzhe Liu; Jiliang Tang (CoRR, 2025)

Higher-order Structure Boosts Link Prediction on Temporal Graphs. - Jingzhe Liu; Zhigang Hua; Yan Xie; Bingheng Li; Harry Shomer; Yu Song; Kaveh Hassani; Jiliang Tang (CoRR, 2025)