| 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 | 52 | 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 | 39 | 2022 |
| 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 | 38 | 2021 |
| 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 | 31 | 2022 |
| 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 1, 2023 | 30 | 2023 |
| 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 | 28 | 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 | 25 | 2023 |
| Graph meets llms: Towards large graph models Z Zhang, H Li, Z Zhang, Y Qin, X Wang, W Zhu arXiv preprint arXiv:2308.14522, 2023 | 22 | 2023 |
| LLM4DyG: can large language models solve spatial-temporal problems on dynamic graphs? Z Zhang, X Wang, Z Zhang, H Li, Y Qin, W Zhu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 17 | 2024 |
| Large graph models: A perspective Z Zhang, H Li, Z Zhang, Y Qin, X Wang, W Zhu arXiv preprint arXiv:2308.14522, 2023 | 16 | 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 | 14 | 2021 |
| 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, 24879-24891, 2023 | 12 | 2023 |
| 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 | 11 | 2024 |
| Data-augmented curriculum graph neural architecture search under distribution shifts Y Yao, X Wang, Y Qin, Z Zhang, W Zhu, H Mei Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16433 …, 2024 | 9 | 2024 |
| Disentangled continual graph neural architecture search with invariant modular supernet Z Zhang, X Wang, Y Qin, H Chen, Z Zhang, X Chu, W Zhu Forty-first International Conference on Machine Learning, 2024 | 8 | 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, 13103-13114, 2023 | 3 | 2023 |
| Causal-aware graph neural architecture search under distribution shifts P Li, X Wang, Z Zhang, Y Qin, Z Zhang, J Wang, Y Li, W Zhu arXiv preprint arXiv:2405.16489, 2024 | 2 | 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 | 1 | 2024 |
| JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration M Wang, Y Meng, C Tang, W Zhang, Y Qin, Y Yao, Y Li, T Feng, X Wang, ... arXiv preprint arXiv:2501.05339, 2025 | | 2025 |
| Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation C Ge, X Wang, Z Zhang, Y Qin, H Wu, Y Zhang, Y Yang, W Zhu | | 2025 |
