The past few years have seen an explosion in the use of graph neural networks, with their application ranging from natural language processing and computer vision to recommendation systems and drug ...

Hands-On Graph Neural Networks Using Python begins with the fundamentals of graph theory and shows you how to create graph datasets from tabular data. As you advance, you’ll explore major graph neural ...

neo4j-viz is a Python package for creating interactive graph visualizations. The output is of type IPython.display.HTML and can be viewed directly in a Jupyter Notebook or Streamlit application.

Make inference on the fully trained TransE model using the following command. pykg2vec-infer -mn TransE Wrapping up. Pykg2vec is a versatile Python library for training, testing, experimenting, ...

Call graphs play an important role in different contexts, such as profiling and vulnerability propagation analysis. Generating call graphs in an efficient manner can be a challenging task when it ...

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports. There’s an intriguing new option for people ...