graphdatascience is a Python client for operating and working with the Neo4j Graph Data Science (GDS) library. It enables users to write pure Python code to project graphs, run algorithms, as well as ...

Abstract: The application of Graph Neural Networks for pre-training models for source code is not well studied. We experimented with pre-training a Graph Neural Network model for Python on tasks of ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

So, you want to learn Python? That’s cool. A lot of people are getting into it these days because it’s used for all sorts of things, from building websites to analyzing data. If you’re looking for a ...