| Graphprompt: Unifying pre-training and downstream tasks for graph neural networks Z Liu, X Yu, Y Fang, X Zhang (WWW) (Co-First Author) ACM Web Conference 2023, 417-428, 2023 | 316 | 2023 |
| HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning X Yu, Z Liu, Y Fang, X Zhang AAAI Conference on Artificial Intelligence 2024, 16578-16586, 2023 | 70 | 2023 |
| MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs X Yu, C Zhou, Y Fang, X Zhang (WWW) ACM Web Conference 2024, 515 - 526, 2023 | 69 | 2023 |
| Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs X Yu, Z Liu, Y Fang, Z Liu, S Chen, X Zhang (TKDE) IEEE Transactions on Knowledge and Data Engineering 36, 6237-6250, 2023 | 52 | 2023 |
| Learning to count isomorphisms with graph neural networks X Yu, Z Liu, Y Fang, X Zhang AAAI Conference on Artificial Intelligence 2023, 4845-4853, 2023 | 40 | 2023 |
| A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning X Yu, Y Fang, Z Liu, Y Wu, Z Wen, J Bo, X Zhang, SCH Hoi arXiv preprint arXiv:2402.01440, 2024 | 33 | 2024 |
| Non-homophilic graph pre-training and prompt learning X Yu, J Zhang, Y Fang, R Jiang (SIGKDD) ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2025, 2024 | 28 | 2024 |
| SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation X Yu, Z Gong, C Zhou, Y Fang, H Zhang (WWW) ACM Web Conference 2025, 2025 | 25 | 2025 |
| Text-free multi-domain graph pre-training: Toward graph foundation models X Yu, C Zhou, Y Fang, X Zhang arXiv preprint arXiv:2405.13934, 2024 | 21 | 2024 |
| Pixel adapter: A graph-based post-processing approach for scene text image super-resolution W Zhang, X Deng, B Jia, X Yu, Y Chen, J Ma, Q Ding, X Zhang (MM) ACM International Conference on Multimedia 2023, 2168-2179, 2023 | 16 | 2023 |
| Node-Time Conditional Prompt Learning In Dynamic Graphs X Yu, Z Liu, Y Fang, X Zhang (ICLR) International Conference on Learning Representations 2025, 2024 | 15* | 2024 |
| Hgclip: Exploring vision-language models with graph representations for hierarchical understanding P Xia, X Yu, M Hu, L Ju, Z Wang, P Duan, Z Ge (COLING) International Conference on Computational Linguistics 2025, 2023 | 13 | 2023 |
| GCoT: Chain-of-Thought Prompt Learning for Graphs X Yu, C Zhou, Z Kuai, X Zhang, Y Fang (SIGKDD) ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2025, 2025 | 8 | 2025 |
| Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond Y Fang, Y Wu, X Yu, S Pan Companion Proceedings of the ACM on Web Conference 2025, 9-12, 2025 | 7 | 2025 |
| MDPM: Modulating domain-specific prompt memory for multi-domain traffic flow prediction with transformers Z Zhuang, L Liu, K Guo, X Yu, H Qi, Y Shen, B Yin Knowledge-Based Systems, 113881, 2025 | 2 | 2025 |
| Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity S Tan, D Li, R Jiang, Z Wang, X Yu, M Okumura (SIGKDD) ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2025, 2025 | 2 | 2025 |
| Learnable Game-theoretic Policy Optimization for Data-centric Self-explanation Rationalization Y Zhao, Z Wang, X Yu, X Li, J Liang, R Li arXiv preprint arXiv:2510.13393, 2025 | | 2025 |
| Event-Aware Prompt Learning for Dynamic Graphs X Yu, R Liang, X Zhang, Y Fang arXiv preprint arXiv:2510.11339, 2025 | | 2025 |
| Implicit-Knowledge Visual Question Answering with Structured Reasoning Traces Z Wen, W Wei, Y Fang, X Yu, H Zhang, W Zhu, X Zhang arXiv preprint arXiv:2510.06638, 2025 | | 2025 |
| MolGA: Molecular Graph Adaptation with Pre-trained 2D Graph Encoder X Yu, C Zhou, X Zhang, Y Fang arXiv preprint arXiv:2510.07289, 2025 | | 2025 |
Yuan FANGAssociate Professor of Computer Science, Singapore Management UniversityVerified email at smu.edu.sg
