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Lanning Wei
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2020 – today
- 2024
- [j2]Lanning Wei, Huan Zhao, Zhiqiang He, Quanming Yao:
Neural Architecture Search for GNN-Based Graph Classification. ACM Trans. Inf. Syst. 42(1): 1:1-1:29 (2024) - [c6]Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao:
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. KDD 2024: 4223-4231 - [i11]Lanning Wei, Jun Gao, Huan Zhao, Quanming Yao:
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models. CoRR abs/2402.11641 (2024) - [i10]Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao:
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. CoRR abs/2406.07979 (2024) - 2023
- [c5]Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao:
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. WWW 2023: 588-598 - [i9]Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao:
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. CoRR abs/2302.08671 (2023) - [i8]Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao:
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents. CoRR abs/2309.04565 (2023) - 2022
- [j1]Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon:
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. Frontiers Artif. Intell. 5 (2022) - [c4]Lanning Wei, Huan Zhao, Zhiqiang He:
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. WWW 2022: 1381-1391 - [i7]Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon:
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. CoRR abs/2204.02625 (2022) - [i6]Xu Wang, Huan Zhao, Lanning Wei, Quanming Yao:
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search. CoRR abs/2207.06027 (2022) - [i5]Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao:
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach. CoRR abs/2211.10990 (2022) - 2021
- [c3]Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He:
Pooling Architecture Search for Graph Classification. CIKM 2021: 2091-2100 - [i4]Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He:
Pooling Architecture Search for Graph Classification. CoRR abs/2108.10587 (2021) - [i3]Lanning Wei, Huan Zhao, Zhiqiang He:
Learn Layer-wise Connections in Graph Neural Networks. CoRR abs/2112.13585 (2021) - [i2]Lanning Wei, Huan Zhao, Zhiqiang He:
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. CoRR abs/2112.14531 (2021) - 2020
- [c2]Huan Zhao, Lanning Wei, Quanming Yao:
Simplifying Architecture Search for Graph Neural Network. CIKM (Workshops) 2020 - [i1]Huan Zhao, Lanning Wei, Quanming Yao:
Simplifying Architecture Search for Graph Neural Network. CoRR abs/2008.11652 (2020)
2010 – 2019
Coauthor Index
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