GitHub

neo4j/python-graph-visualization

Resizing nodes, optionally including scale normalization Coloring nodes based on a property Toggle whether nodes should be pinned or not Please note that this list is by no means exhaustive. We will ...
GitHub

Modern Graph Theory Algorithms with Python

What is this book about? Big data demands scalable solutions. This book delves into graph-based algorithms in Python that tackle massive datasets. Using code examples, you’ll be able to leverage these ...
IEEE

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation networks. The past few years ...
IEEE

Modern Graph Theory Algorithms with Python: Harness the power of graph algorithms and real-world network applications using Python

We are living in the age of big data, and scalable solutions are a necessity. Network science leverages the power of graph theory and flexible data structures to analyze big data at scale. This book ...