PyRGG is a user-friendly synthetic random graph generator that is written in Python and supports multiple graph file formats, such as DIMACS-Graph files. It can generate graphs of various sizes and is ...

The Bipartite Random Graph (BiRG ... of the Erdős–Rényi model [ER] to bipartite graphs. Link probabilities are obtained by constraining the total number of links between the two layers in the network.

To get the most out of the book, basic knowledge of Python, including pandas and NumPy, as well as some experience working with datasets is required. This book is also ideal for anyone interested in ...

In this post, we will walk through the fundamental principles of the Bayesian Network and the mathematics that goes with it. Also, we will also learn how to infer with it through a Python ...

Coding a neural network from scratch allows you to freely experiment with the code. The downside is the extra time and effort required. Listing 1: Dropout Demo Program Structure # nn_dropout.py # ...

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 ...