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KGNN: Distributed Framework for Graph Neural Knowledge Representation



Binbin Hu , Zhiyang Hu , Zhiqiang Zhang , Jun Zhou , Chuan Shi


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CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space



Yupeng Hou , Binbin Hu , Zhiqiang Zhang , Wayne Xin Zhao

* Accepted by SIGIR 2022 

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Neural Graph Matching for Pre-training Graph Neural Networks



Yupeng Hou , Binbin Hu , Wayne Xin Zhao , Zhiqiang Zhang , Jun Zhou , Ji-Rong Wen

* Accepted by SDM 2022 

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An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022



Qian Zhao , Shuo Yang , Binbin Hu , Zhiqiang Zhang , Yakun Wang , Yusong Chen , Jun Zhou , Chuan Shi

* 4 pages, the first place of WSDM Cup 2022 (Temporal Link Prediction) 

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Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift



Hongrui Liu , Binbin Hu , Xiao Wang , Chuan Shi , Zhiqiang Zhang , Jun Zhou

* Accepted to the ACM Web Conference (WWW)2022. Work done during internship at Ant Group 

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Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback



Boxin Zhao , Ziqi Liu , Chaochao Chen , Mladen Kolar , Zhiqiang Zhang , Jun Zhou

* 41 pages, 10 figures 

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Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation



Ke Tu , Peng Cui , Daixin Wang , Zhiqiang Zhang , Jun Zhou , Yuan Qi , Wenwu Zhu

* Accepted by CIKM21 

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MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data



Zhibo Zhu , Ziqi Liu , Ge Jin , Zhiqiang Zhang , Lei Chen , Jun Zhou , Jianyong Zhou

* 15 pages, 2 figures, NeurIPS 2021 

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Real-time FPGA Design for OMP Targeting 8K Image Reconstruction



Jiayao Xu , Chen Fu , Zhiqiang Zhang , Jinjia Zhou


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SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation



Kai Zhang , Hao Qian , Qi Liu , Zhiqiang Zhang , Jun Zhou , Jianhui Ma , Enhong Chen

* 5 pages, 3 figures 

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