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An Automated Question-Answering Framework Based on Evolution Algorithm


Jan 26, 2022
Sinan Tan, Hui Xue, Qiyu Ren, Huaping Liu, Jing Bai

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* In Proceedings of the AAAI 2019 Workshop (WS13) on Reasoning and Complex Question-Answering (RCQA-19) https://researcher.watson.ibm.com/researcher/view_group.php?id=9632 

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Learning Multi-granularity User Intent Unit for Session-based Recommendation


Jan 10, 2022
Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang

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Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation


Jan 02, 2022
Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang

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Creating Training Sets via Weak Indirect Supervision


Oct 07, 2021
Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner

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* 40 pages 

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Graph Pointer Neural Networks


Oct 03, 2021
Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai

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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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Adaptive Transfer Learning on Graph Neural Networks


Jul 20, 2021
Xueting Han, Zhenhuan Huang, Bang An, Jing Bai

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Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting


Mar 13, 2021
Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Conguri Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang

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* Accepted by NeurIPS 2020. 20 pages, 7 figures 

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