This Python program counts the number of strongly connected components in a directed graph. The first line of input has two space delimited integers, the number of vertices n and the number of edges m ...

To perform PCA in Python, you can use the scikit-learn ... as they can be shown in a 2D or 3D graph. Performing Principal Component Analysis (PCA) in R requires the use of the prcomp function ...

Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph.

Programming Background: The course involves solving programming assignments in Python. You must be comfortable with Python programming. This includes basic control structures in Python: conditional ...

Despite the language's popularity, there have been very few tools aiming to generate call graphs for Python programs. Worse, these tools suffer from several effectiveness issues that limit their ...

The team proposed a Python-based library named XGCN to help users quickly build and run large-scale GNNs in a single-machine environment. The library supports various scaling strategies, offers ...