Simplifying architecture search for graph neural network H Zhao, L Wei, Q Yao arXiv preprint arXiv:2008.11652, 2020 | 35 | 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 | 23 | 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 | 7* | 2022 |
Efficient graph neural architecture search H Zhao, L Wei, Z He | 2 | 2021 |
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 |
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 | | 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, 2022 | | 2022 |