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 ...

Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...

This is a plugin for Dokuwiki. It provides support for the diagramming tool Mermaid. Mermaid is a JavaScript based diagramming and charting tool that renders Markdown-inspired text definitions to ...