Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...

This is a direct port of the Git log graphing code, which draws directed acyclic commit graphs as ASCII art. It was done very mechanically and quickly, so the code is not Pythonic. Dependencies on Git ...

QVGE is a multiplatform graph editor written in C++/Qt. Its main goal is to make possible visually edit two-dimensional graphs in a simple and intuitive way. Please note that QVGE is not a replacement ...

Abstract: Due to their great performance in many challenges, Deep Learning (DL) techniques keep gaining popularity in many fields. They have been adapted to process graph data structures to solve ...

Back in the Stone Age, before we were all completely plugged in and focused on our gadgets at all times (you know, like, 2002), people would get ... bored. Of course, everyone still finds themselves ...