Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction
PulseAugur coverage of Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction — every cluster mentioning Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction across labs, papers, and developer communities, ranked by signal.
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New multi-modal graph network improves urban spatiotemporal forecasting
This paper introduces a novel approach for urban spatiotemporal forecasting by treating region-wise relationships as a multi-modal machine learning problem. The proposed method utilizes multi-graph convolution networks …
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New method fuses graph and text for patent entity alignment
This paper introduces a novel method for aligning entities within science and technology patent knowledge graphs. The proposed approach leverages a graph convolution network combined with the BERT model to fuse structur…