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Lanning Wei
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Pooling architecture search for graph classification
L Wei, H Zhao, Q Yao, Z He
Proceedings of the 30th ACM International Conference on Information …, 2021
492021
Simplifying architecture search for graph neural network
H Zhao, L Wei, Q Yao
arXiv preprint arXiv:2008.11652, 2020
472020
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
312022
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
62023
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
52023
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
32022
Neural architecture search for GNN-based graph classification
L Wei, H Zhao, Z He, Q Yao
ACM Transactions on Information Systems 42 (1), 1-29, 2023
22023
Efficient graph neural architecture search
H Zhao, L Wei, Z He
22020
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
12022
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models
L Wei, J Gao, H Zhao, Q Yao
arXiv preprint arXiv:2402.11641, 2024
2024
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
Automated Machine Learning: From Principles to Practices
Z Shen, Y Zhang, L Wei, H Zhao, Q Yao
arXiv e-prints, arXiv: 1810.13306, 2018
2018
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