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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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Search to Pass Messages for Temporal Knowledge Graph Completion


Oct 30, 2022
Zhen Wang, Haotong Du, Quanming Yao, Xuelong Li

* Accepted by Findings of EMNLP 2022 

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Searching a High-Performance Feature Extractor for Text Recognition Network


Sep 27, 2022
Hui Zhang, Quanming Yao, James T. Kwok, Xiang Bai


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DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction


Aug 14, 2022
Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li

* Accepted as a research track paper in ICDE 2022 

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AutoWeird: Weird Translational Scoring Function Identified by Random Search


Jul 24, 2022
Hansi Yang, Yongqi Zhang, 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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Learning Adaptive Propagation for Knowledge Graph Reasoning


May 30, 2022
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han

* under review 

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Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization


May 06, 2022
Quanming Yao, Yaqing Wang, Bo Han, James Kwok

* Accepted to JMLR in 2022 

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KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning


May 05, 2022
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li

* Accepted to ACL 2022 (long paper) 

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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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