| 2026 | WWW | A | Chenxu Du, Yang Liu, Xingtong Yu, Zhuoer Xu, Yang Liu, Tianrui Li |
| 2025 | COLING | HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding. | Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge |
| 2025 | ICLR | Node-Time Conditional Prompt Learning in Dynamic Graphs. | Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan Fang |
| 2025 | KDD | Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity. | Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura |
| 2025 | KDD | GCoT: Chain-of-Thought Prompt Learning for Graphs. | Xingtong Yu, Chang Zhou, Zhongwei Kuai, Xinming Zhang, Yuan Fang |
| 2025 | KDD | Non-Homophilic Graph Pre-Training and Prompt Learning. | Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang |
| 2025 | WWW | Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond. | Yuan Fang, Yuxia Wu, Xingtong Yu, Shirui Pan |
| 2025 | WWW | SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation. | Xingtong Yu, Zechuan Gong, Chang Zhou, Yuan Fang, Hui Zhang |
| 2024 | AAAI | HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning. | Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang |
| 2024 | WWW | MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs. | Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang |
| 2023 | AAAI | Learning to Count Isomorphisms with Graph Neural Networks. | Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang |
| 2023 | WWW | GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. | Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang |