| Simplifying architecture search for graph neural network H Zhao, L Wei, Q Yao arXiv preprint arXiv:2008.11652, 2020 | 45 | 2020 |
| Pooling architecture search for graph classification L Wei, H Zhao, Q Yao, Z He Proceedings of the 30th ACM International Conference on Information …, 2021 | 42 | 2021 |
| Designing the topology of graph neural networks: A novel feature fusion perspective L Wei, H Zhao, Z He Proceedings of the ACM Web Conference 2022, 1381-1391, 2022 | 25 | 2022 |
| Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification L Wei, Z He, H Zhao, Q Yao Proceedings of the ACM Web Conference 2023, 588-598, 2023 | 4 | 2023 |
| Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search X Wang, H Zhao, L Wei, Q Yao DLG-KDD 2022, 2022 | 3 | 2022 |
| Unleashing the Power of Graph Learning through LLM-based Autonomous Agents L Wei, Z He, H Zhao, Q Yao arXiv preprint arXiv:2309.04565, 2023 | 2 | 2023 |
| Efficient graph neural architecture search H Zhao, L Wei, Z He | 2 | 2020 |
| Neural Architecture Search for GNN-based Graph Classification L Wei, H Zhao, Z He, Q Yao ACM Transactions on Information Systems, 2023 | 1 | 2023 |
| Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach L Wei, Z He, H Zhao, Q Yao arXiv preprint arXiv:2211.10990, 2022 | | 2022 |
| Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020 Z Xu, L Wei, H Zhao, R Ying, Q Yao, WW Tu, I Guyon Frontiers in Artificial Intelligence 5, 905104, 2022 | | 2022 |
Huan ZhaoSenior Researcher@4ParadigmVerified email at 4paradigm.com
