Xingtong Yu

According to our database, Xingtong Yu authored at least 18 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity.

Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura

CoRR, May, 2025

GCoT: Chain-of-Thought Prompt Learning for Graphs.

Xingtong Yu, Chang Zhou, Zhongwei Kuai, Xinming Zhang, Yuan Fang

CoRR, February, 2025

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

CoRR, February, 2025

MDPM: Modulating domain-specific prompt memory for multi-domain traffic flow prediction with transformers.

Zhuang Zhuang, Lingbo Liu, Kan Guo, Xingtong Yu, Heng Qi, Yanming Shen, Baocai Yin

Knowl. Based Syst., 2025

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

Proceedings of the ACM on Web Conference 2025, 2025

Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond.

Yuan Fang, Yuxia Wu, Xingtong Yu, Shirui Pan

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Non-Homophilic Graph Pre-Training and Prompt Learning.

Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Node-Time Conditional Prompt Learning in Dynamic Graphs.

Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan Fang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs.

Xingtong Yu, Zhenghao Liu, Yuan Fang, Zemin Liu, Sihong Chen, Xinming Zhang

IEEE Trans. Knowl. Data Eng., November, 2024

DyGPrompt: Learning Feature and Time Prompts on Dynamic Graphs.

Xingtong Yu, Zhenghao Liu, Yuan Fang, Xinming Zhang

CoRR, 2024

Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models.

Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang

CoRR, 2024

Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting.

Xingtong Yu, Yuan Fang, Zemin Liu, Yuxia Wu, Zhihao Wen, Jianyuan Bo, Xinming Zhang, Steven C. H. Hoi

CoRR, 2024

MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs.

Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang

Proceedings of the ACM on Web Conference 2024, 2024

HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning.

Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks.

Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang

Proceedings of the ACM Web Conference 2023, 2023

Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution.

Wenyu Zhang, Xin Deng, Baojun Jia, Xingtong Yu, Yifan Chen, Jin Ma, Qing Ding, Xinming Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learning to Count Isomorphisms with Graph Neural Networks.

Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023