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Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach


Nov 20, 2022
Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao


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Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search


Jul 13, 2022
Xu Wang, Huan Zhao, Lanning Wei, Quanming Yao


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Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020


Apr 06, 2022
Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon

* arXiv admin note: text overlap with arXiv:2110.05802 

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Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective


Dec 29, 2021
Lanning Wei, Huan Zhao, Zhiqiang He


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Learn Layer-wise Connections in Graph Neural Networks


Dec 27, 2021
Lanning Wei, Huan Zhao, Zhiqiang He


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Pooling Architecture Search for Graph Classification


Aug 24, 2021
Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He


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Simplifying Architecture Search for Graph Neural Network


Sep 06, 2020
Huan Zhao, Lanning Wei, Quanming Yao

* CIKM 2020 Workshop: 1st Workshop Combining Symbolic and Subsymbolic Methods and their Applications 

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