A Python Embedded Graph Database.
A numpy geometry class and functions that work with arcpy and ESRI featureclasses is provided here to facilitate working with vector geometry using the ndarray as its base.
Create, manipulate and convert representations of position and orientation in 2D or 3D using Python.
Gated Graph Transformers for graph-level property prediction, i.e. graph classification and regression.
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
AutoGL is developed for researchers and developers to quickly conduct autoML on the graph datasets & tasks.
MolecularGraph.jl is a graph-based molecule modeling and chemoinformatics analysis toolkit fully implemented in Julia.
This package is an add-on to ggplot2, the R package for creating awesome graphics, which is based on The Grammar of Graphics.
Attribution is one tool in the interpretability toolkit that provides ranked importance values on an input (x) in relation to an output (y).
Gridap provides a set of tools for the grid-based approximation of partial differential equations (PDEs) written in the Julia programming language.