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FadMan: Federated Anomaly Detection across Multiple Attributed Networks


May 27, 2022
Nannan Wu, Ning Zhang, Wenjun Wang, Lixin Fan, Qiang Yang


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DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction


Mar 11, 2022
Buyun Zhang, Liang Luo, Xi Liu, Jay Li, Zeliang Chen, Weilin Zhang, Xiaohan Wei, Yuchen Hao, Michael Tsang, Wenjun Wang, Yang Liu, Huayu Li, Yasmine Badr, Jongsoo Park, Jiyan Yang, Dheevatsa Mudigere, Ellie Wen


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Representation Learning on Heterostructures via Heterogeneous Anonymous Walks


Jan 18, 2022
Xuan Guo, Pengfei Jiao, Ting Pan, Wang Zhang, Mengyu Jia, Danyang Shi, Wenjun Wang

* 13 pages, 6 figures, 5 tables 

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Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction


Apr 14, 2021
Yingfang Yuan, Wenjun Wang, Wei Pang


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Which Hyperparameters to Optimise? An Investigation of Evoluationary Hyperaprameter Optimisation in Graph Neural Network For Molecular Property Prediction


Apr 13, 2021
Yingfang Yuan, Wenjun Wang, Wei Pang


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A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks


Feb 24, 2021
Yingfang Yuan, Wenjun Wang, Wei Pang


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A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction


Feb 08, 2021
Yingfang Yuan, Wenjun Wang, Wei Pang


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A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks


Jan 26, 2021
Yingfang Yuan, Wenjun Wang, George M. Coghill, Wei Pang


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Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors


May 29, 2019
Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie

* 4pages, 1 figures 

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NRPA: Neural Recommendation with Personalized Attention


May 29, 2019
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie

* sigir 2019 
* 4 pages, 4 figures 

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