Duah: Using puzzles, both at home and in classrooms, can restore the often-forgotten truth that learning happens in ...
Abstract: Neuroimaging analysis aims to reveal the information-processing mechanisms of the human brain in a noninvasive manner. In the past, graph neural networks (GNNs) have shown promise in ...
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, ...
Abstract: In several applications the information is naturally represented by graphs. Traditional approaches cope with graphical data structures using a preprocessing phase which transforms the graphs ...
Who are the adults in children’s lives? By The Learning Network Will you have a white Christmas this year? What do you notice about the map below? What questions does it raise for you? By The Learning ...
This directory contains code necessary to run the GraphSage algorithm. GraphSage can be viewed as a stochastic generalization of graph convolutions, and it is especially useful for massive, dynamic ...
Get funding and advice from the Industrial Research Assistance Program (NRC IRAP) ...
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