This repo contains an example implementation of the Simple Graph Convolution (SGC) model, described in the ICML2019 paper Simplifying Graph Convolutional Networks. SGC removes the nonlinearities and ...
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, ...
These are the products that I’d want with me on a deserted island (cuz I’d obviously have lots of time for watercolor and hand lettering!) ;) Pens + Paints: Derwent Graphik Black Line Markers: <a ...
Paper mills’ are contaminating the world’s scholarly output with fake papers that hinder research. Lifesaving biomedical fields are especially hard hit.
Abstract: A minimum feedback arc set is, for a directed graph, a minimum set of arcs which if removed leaves the resultant graph free of directed loops. This paper establishes a relationship between ...