By Rishit Dagli Graph Neural Networks are getting more and more popular and are being used extensively in a wide variety of projects. In this article, I help you get started and understand how graph neural networks work while also trying to address t...

Introducing TensorFlow GNN, a library to build Graph Neural Networks on the TensorFlow
platform.

Graph analysis is not a new branch of data science, yet is not the usual “go-to” method data scientists apply today. However there are some…

Explore and run machine learning code with Kaggle Notebooks | Using data from Village Relationships

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This guide defines network analysis and discusses several network analysis tools and methods

Graphs are a way to represent a network or a collection of interconnected objects formally. There are many powerful tools out there to explore that kind of network by applying graph algorithms. But sometimes it’s hard to keep track of them!

We have created…

In this comprehensive video, we dive deep into igraph, one of the most powerful open-source libraries for network analysis and visualization.

This is a full-fledged tutorial created as part of the Network Science course at IIT Bhilai (2025). We cover both…

Learn how to use NetworkX in Python for creating, analyzing, and visualizing complex networks. This tutorial covers everything from basic graph concepts and hands-on code examples to advanced topics like weighted edges, graph algorithms, and saving or loading…