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Discovering Representative Attribute-stars via Minimum Description Length


Apr 27, 2022
Jiahong Liu , Min Zhou , Philippe Fournier-Viger , Menglin Yang , Lujia Pan , Mourad Nouioua

* 14pages.Accepted by ICDE 2022 

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TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction


Apr 16, 2022
Min Zhou , Bisheng Li , Menglin Yang , Lujia Pan

* Accepted by GLB 2022 @TheWebConf 2022;Data and codes are available at https://github.com/huawei-noah/benchmark/tree/main/TeleGraph 

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Hyperbolic Graph Neural Networks: A Review of Methods and Applications


Feb 28, 2022
Menglin Yang , Min Zhou , Zhihao Li , Jiahong Liu , Lujia Pan , Hui Xiong , Irwin King


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gCastle: A Python Toolbox for Causal Discovery


Nov 30, 2021
Keli Zhang , Shengyu Zhu , Marcus Kalander , Ignavier Ng , Junjian Ye , Zhitang Chen , Lujia Pan

* Tech report describing the gCastle toolbox. More details can be found in the github repository https://github.com/huawei-noah/trustworthyAI/tree/master/gcastle 

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Label-Aware Distribution Calibration for Long-tailed Classification


Nov 09, 2021
Chaozheng Wang , Shuzheng Gao , Cuiyun Gao , Pengyun Wang , Wenjie Pei , Lujia Pan , Zenglin Xu

* 9 pages 

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An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels


Jul 06, 2021
Yong Wen , Marcus Kalander , Chanfei Su , Lujia Pan

* Accepted by the IJCAI2021 Weakly Supervised Representation Learning (WSRL) Workshop 

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Mask-GVAE: Blind Denoising Graphs via Partition


Feb 08, 2021
Jia Li , Mengzhou Liu , Honglei Zhang , Pengyun Wang , Yong Wen , Lujia Pan , Hong Cheng

* 11 pages, 6 figures, 4 tables, In Proceedings of the Web Conference 2021 

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Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks


Sep 17, 2020
Marcus Kalander , Min Zhou , Chengzhi Zhang , Hanling Yi , Lujia Pan


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Predicting Path Failure In Time-Evolving Graphs


May 21, 2019
Jia Li , Zhichao Han , Hong Cheng , Jiao Su , Pengyun Wang , Jianfeng Zhang , Lujia Pan

* Accepted by KDD2019 Research track (oral presentation) 

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