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Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks
The novel corona virus (Covid-19) has introduced significant challenges due to its rapid spreading nature through respiratory transmission.
Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association
In this paper, we propose a novel graph convolution network framework to learn features from a graph built with multi-source similarity information to predict circRNA-disease associations.
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