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Improving Graph Convolutional Networks Based on Relation-Aware Attention for End-to-End Relation Extraction

机译：基于端到端关系提取的关系意识注意，改进图形卷积网络

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Yin Hong; Yanxia Liu; Suizhu Yang; Kaiwen Zhang; Aiqing Wen; Jianjun Hu;
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年度 2020
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2. Document-Level Biomedical Relation Extraction Using Graph Convolutional Network and Multihead Attention: Algorithm Development and Validation [J] . Jian Wang, Xiaoyu Chen, Yu Zhang, JMIR Medical Informatics . 2020,第7期

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3. AGCN: Attention-based graph convolutional networks for drug-drug interaction extraction [J] . Park Chanhee, Park Jinuk, Park Sanghyun Expert systems with applications . 2020,第Nova期

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4. End-to-end Relation Extraction Using Graph Convolutional Network with a Novel Entity Attention [C] . Qi Wang, Li Lv, Bihui Yu, IEEE International Conference on Computer and Communications . 2020

机译：使用Graph卷积网络提取具有新颖实体的端到端关系
5. Attention Based Temporal Convolutional Neural Network for Real-Time 3D Human Pose Reconstruction [D] . ?Liu, Ruixu 2019

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6. CID-GCN: An Effective Graph Convolutional Networks for Chemical-Induced Disease Relation Extraction [O] . Daojian Zeng, Chao Zhao, Zhe Quan 2021

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7. Relation-Aware Graph Attention Network for Visual Question Answering [O] . Linjie Li, Zhe Gan, Yu Cheng, 2019

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Improving Graph Convolutional Networks Based on Relation-Aware Attention for End-to-End Relation Extraction

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