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Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation


Sep 28, 2022
Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, Irwin King

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* under submission 

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Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation


Jun 05, 2022
Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King

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* Accepted by SIGKDD 2022 

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Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation


Dec 03, 2021
Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King

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Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation


Sep 05, 2021
Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King

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Modeling Scale-free Graphs for Knowledge-aware Recommendation


Aug 14, 2021
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King

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A Literature Review of Recent Graph Embedding Techniques for Biomedical Data


Jan 20, 2021
Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King

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