StellarGraph
StellarGraph is a Python library for machine learning on graph-structured data, providing implementations of graph neural networks (GNNs) and other graph algorithms. It is designed to handle heterogeneous graphs (with multiple node and edge types) and supports tasks like node classification, link prediction, and graph classification. The library integrates with TensorFlow and Keras, offering a high-level API for building and training GNN models efficiently.
Developers should learn StellarGraph when working with graph data in applications such as social network analysis, recommendation systems, bioinformatics, or fraud detection, where relationships between entities are crucial. It is particularly useful for implementing state-of-the-art GNN models like GraphSAGE, GCN, and GAT, enabling scalable and accurate predictions on complex networks. Use it to leverage graph-structured data in machine learning pipelines without building algorithms from scratch.