This is a TensorFlow implementation of Graph Convolutional Networks for the task of (semi-supervised) classification of nodes in a graph, as described in our paper: Thomas N. Kipf, Max Welling, ...

This repository is the source code for the training framework of Toward Robust Cardiac Segmentation Using Graph Convolutional Networks. Fully automatic cardiac segmentation can be a fast and ...

and transpose convolutional layers. In cover networks, the hidden layer is transformed into a graph structure to facilitate data embedding using graph convolutional networks (GCN). Another novelty is ...

by integrating fuzzy clustering and graph convolution network. FCGCN is trained toward optimizing an unsupervised fuzzy-based clustering objective, which is specifically formulated for precisely ...