Robuta

https://www.nist.gov/publications/graph-convolutional-neural-network-applied-prediction-normal-boiling-point
In this article, we describe training and validation of a machine learning model for the prediction of organic compound normal boiling points.
convolutional neural networkgraphappliedpredictionnormal
https://github.com/imatge-upc/ragc
RAGC: Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification (ICCVW 2019) - imatge-upc/ragc
graph convolutional networkgithubimatgeupcragc
https://deepai.org/publication/cgc-net-cell-graph-convolutional-network-for-grading-of-colorectal-cancer-histology-images
09/03/19 - Colorectal cancer (CRC) grading is typically carried out by assessing the degree of gland formation within histology images. To do...
graph convolutional networkcgccellgradingcolorectal
https://www.springerprofessional.de/en/gcnext-graph-convolutional-network-with-expanded-balance-theory-/18464826
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graph convolutional networkbalance theorygcnextexpandedfraudulent
https://www.mdpi.com/1424-8220/23/12/5593
For skeleton-based action recognition, graph convolutional networks (GCN) have absolute advantages. Existing state-of-the-art (SOTA) methods tended to focus on...
graph convolutional networktfcgcnlightweighttemporal
https://pubmed.ncbi.nlm.nih.gov/32533855/
The proposed interactive segmentation method based on the GCN can accurately segment the prostate from MR images. Our method has a variety of applications in...
graph convolutional networkbasedinteractiveprostatesegmentation
https://openreview.net/forum?id=ud-iBiED9zb&referrer=%5Bthe%20profile%20of%20Archana%20Venkataraman%5D(%2Fprofile%3Fid%3D~Archana_Venkataraman1)
We propose a multimodal graph convolutional network to integrate functional and structural connectivity to predict multidimensional phenotypic...
graph convolutional networkgcnmultimodalintegratefunctional