382 citations · 563 across the 24 of their papers we have counts for
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cs.CL2019★ 382 cited
KG-BERT: BERT for Knowledge Graph Completion
Liang Yao, Chengsheng Mao, Yuan Luo
Knowledge graphs are important resources for many artificial intelligence tasks but often suffer from incompleteness. In this work, we propose to use pre-trained language models fo…
cs.LG2019★ 65 cited
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks
Chengsheng Mao, Liang Yao, Yuan Luo
Laboratory testing and medication prescription are two of the most important routines in daily clinical practice. Developing an artificial intelligence system that can automaticall…
cs.CV2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Chengsheng Mao, Liang Yao, Yuan Luo
Image representation is a fundamental task in computer vision. However, most of the existing approaches for image representation ignore the relations between images and consider ea…