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 | 170 | 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 | 38 | 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 | 30 | 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 | 28 | 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 | 25 | 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 | 16* | 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 | 12 | 2023 |
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 | 7 | 2024 |
Node-Time Conditional Prompt Learning In Dynamic Graphs X Yu, Z Liu, Y Fang, X Zhang (ICLR) International Conference on Learning Representations 2025, 2024 | 7* | 2024 |
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 | 6 | 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 | 5 | 2023 |
GCoT: Chain-of-Thought Prompt Learning for Graphs X Yu, C Zhou, Z Kuai, X Zhang, Y Fang arXiv preprint arXiv:2502.08092, 2025 | | 2025 |
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 | | 2025 |
Learning to Count Isomorphisms with Graph Neural Networks (Technical Appendices) X Yu, Z Liu, Y Fang, X Zhang | | 2023 |