| Graph differentiable architecture search with structure learning Y Qin, X Wang, Z Zhang, W Zhu Advances in neural information processing systems 34, 16860-16872, 2021 | 34 | 2021 |
| Autogl: A library for automated graph learning Z Zhang, Y Qin, Z Zhang, C Guan, J Cai, H Chang, J Jiang, H Li, Z Sun, ... arXiv preprint arXiv:2104.04987, 2021 | 27 | 2021 |
| Nas-bench-graph: Benchmarking graph neural architecture search Y Qin, Z Zhang, X Wang, Z Zhang, W Zhu Advances in neural information processing systems 35, 54-69, 2022 | 22 | 2022 |
| Graph neural architecture search under distribution shifts Y Qin, X Wang, Z Zhang, P Xie, W Zhu International Conference on Machine Learning, 18083-18095, 2022 | 17 | 2022 |
| Disentangled representation learning with large language models for text-attributed graphs Y Qin, X Wang, Z Zhang, W Zhu arXiv preprint arXiv:2310.18152, 2023 | 12 | 2023 |
| Large graph models: A perspective Z Zhang, H Li, Z Zhang, Y Qin, X Wang, W Zhu arXiv preprint arXiv:2308.14522, 2023 | 12 | 2023 |
| LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs? Z Zhang, X Wang, Z Zhang, H Li, Y Qin, S Wu, W Zhu arXiv preprint arXiv:2310.17110, 2023 | 10 | 2023 |
| Dynamic heterogeneous graph attention neural architecture search Z Zhang, Z Zhang, X Wang, Y Qin, Z Qin, W Zhu Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11307 …, 2023 | 9 | 2023 |
| Gqnas: Graph q network for neural architecture search Y Qin, X Wang, P Cui, W Zhu 2021 IEEE International Conference on Data Mining (ICDM), 1288-1293, 2021 | 9 | 2021 |
| Graph meets llms: Towards large graph models Z Zhang, H Li, Z Zhang, Y Qin, X Wang, W Zhu NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | 5 | 2023 |
| Multi-task graph neural architecture search with task-aware collaboration and curriculum Y Qin, X Wang, Z Zhang, H Chen, W Zhu Advances in neural information processing systems 36, 2024 | 1 | 2024 |
| Exploring the Potential of Large Language Models in Graph Generation Y Yao, X Wang, Z Zhang, Y Qin, Z Zhang, X Chu, Y Yang, W Zhu, H Mei arXiv preprint arXiv:2403.14358, 2024 | | 2024 |
| Joint Data-Task Generation for Auxiliary Learning H Chen, X Wang, Y Zhou, Y Qin, C Guan, W Zhu Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| From mechanism to application: Decrypting light‐regulated denitrifying microbiome through geometric deep learning Y Liao, J Zhao, J Bian, Z Zhang, S Xu, Y Qin, S Miao, R Li, R Liu, M Zhang, ... iMeta 3 (1), e162, 2024 | | 2024 |
| Data-Augmented Curriculum Graph Neural Architecture Search Under Distribution Shifts Y Yao, X Wang, Y Qin, Z Zhang, W Zhu, H Mei | | 2024 |
| Appendix of Joint Data-Task Generation for Auxiliary Learning H Chen, X Wang, Y Zhou, Y Qin, C Guan, W Zhu | | |
| One-Shot Neural Channel Search: What Works and What’s Next C Guan, Y Qin, Z Wei, Z Zhang, Z Zhang, X Wang, W Zhu | | |
