Scholar
Xingtong Yu 于星橦
Google Scholar ID: VKWhRggAAAAJ
Research Scientist, Singapore Management University
Citations & Impact
Citations
566
H-index
12
i10-index
12
Publications
19
Co-authors
7
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- GCoT: Chain-of-Thought Prompt Learning for Graphs, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025
- A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning, Preprint, 2025
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks, The ACM Web Conference (WWW), 2023
- Node-Time Conditional Prompt Learning In Dynamic Graphs, International Conference on Learning Representations (ICLR), 2025
- Non-homophilic graph pre-training and prompt learning, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025
- SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation, The ACM Web Conference (WWW), 2025
- Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025
- Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
- Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models, Preprint, 2024
- MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs, The ACM Web Conference (WWW), 2024
- HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning, The AAAI Conference on Artificial Intelligence (AAAI), 2024
- Learning to Count Isomorphisms with Graph Neural Networks, The AAAI Conference on Artificial Intelligence (AAAI), 2023
Research Experience
- Served as the PC member for top-tier conferences including ICLR, NeurIPS, ICML, SIGKDD, WWW, AAAI, etc.
Education
- B.E.: School of the Gifted Young, University of Science and Technology of China; Ph.D.: School of Computer Science and Technology, University of Science and Technology of China.
Background
- Currently a Research Scientist at Singapore Management University. His research interests lie in graph learning, prompt learning, and graph foundation model.
