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Multi-aspect self-supervised learning for heterogeneous information network 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:  Che, Feihu;  Tao, Jianhua;  Yang, Guohua;  Liu, Tong;  Zhang, Dawei
Adobe PDF(2661Kb)  |  收藏  |  浏览/下载：224/45  |  提交时间：2021/12/28
Heterogeneous information network  Self-supervised  Contrastive learning  Graph neural network  
HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:  Yang, Linyao;  Wang, Xiao;  Dai, Yuxin;  Xin, Kejun;  Zheng, Xiaolong;  Ding, Weiping;  Zhang, Jun;  Wang, Fei-Yue
Adobe PDF(1159Kb)  |  收藏  |  浏览/下载：363/127  |  提交时间：2021/12/28
Knowledge fusion  Knowledge reasoning  Decision-making  Hierarchical graph attention  Reinforcement learning  
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 229, 页码: 11
作者:  Liu, Bo;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(1224Kb)  |  收藏  |  浏览/下载：341/71  |  提交时间：2021/11/04
Zero-shot learning  Visual-semantic embedding  Out-of-distribution detection  
Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 227, 期号: 2021, 页码: 107186
作者:  Liu, Qingbin;  Bai, Guirong;  He, Shizhu;  Liu, Cao;  Liu, Kang;  Zhao, Jun
Adobe PDF(1021Kb)  |  收藏  |  浏览/下载：301/62  |  提交时间：2021/11/02
End-to-end task-oriented dialogue  Heterogeneous relational graph neural networks  Shared-private parameterization  Hierarchical attention mechanism  Adaptive objective  
Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 215, 页码: 12
作者:  Zhu, Yifan;  Lin, Qika;  Lu, Hao;  Shi, Kaize;  Qiu, Ping;  Niu, Zhendong
收藏  |  浏览/下载：256/0  |  提交时间：2021/04/21
Paper recommendation  Heterogeneous knowledge  Attentive recurrent neural networks  Recommendation systems  E-learning