Empower Text-Attributed Graphs Learning with Large Language Models (LLMs). - Jianxiang Yu 001; Yuxiang Ren; Chenghua Gong; Jiaqi Tan 006; Xiang Li 067; Xuecang Zhang (CoRR, 2023)

Prompt Tuning for Multi-View Graph Contrastive Learning. - Chenghua Gong; Xiang Li 067; Jianxiang Yu 001; Cheng Yao; Jiaqi Tan 006; Chengcheng Yu; Dawei Yin (CoRR, 2023)

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. - Jianxiang Yu 001; Zichen Ding 002; Jiaqi Tan 006; Kangyang Luo; Zhenmin Weng; Chenghua Gong; Long Zeng 004; Renjing Cui; Chengcheng Han 004; Qiushi Sun; Zhiyong Wu 003; Yunshi Lan; et al. (EMNLP (Findings), 2024)

Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks. - Chenghua Gong; Xiang Li 067; Jianxiang Yu 001; Yao Cheng; Jiaqi Tan 006; Chengcheng Yu (ECML/PKDD (2), 2024)

SEAGraph: Unveiling the Whole Story of Paper Review Comments. - Jianxiang Yu 001; Jiaqi Tan 006; Zichen Ding 002; Jiapeng Zhu 002; Jiahao Li; Yao Cheng; Qier Cui; Yunshi Lan; Xiang Li 067 (CoRR, 2024)

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs. - Jianxiang Yu 001; Yuxiang Ren; Chenghua Gong; Jiaqi Tan 006; Xiang Li 067; Xuecang Zhang (AAAI, 2025)

RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning. - Jiapeng Zhu 002; Zichen Ding 002; Jianxiang Yu 001; Jiaqi Tan 006; Xiang Li 067; Weining Qian (KDD (1), 2025)