Spektral
Spektral is a Python library for graph neural networks (GNNs) built on top of TensorFlow and Keras. It provides a high-level API for implementing and experimenting with various GNN architectures, such as graph convolutional networks (GCNs) and graph attention networks (GATs). The library simplifies tasks like graph data handling, model building, and training for applications in domains like social networks, chemistry, and recommendation systems.
Developers should learn Spektral when working on machine learning projects involving graph-structured data, as it offers an intuitive interface for GNNs without requiring deep expertise in low-level implementations. It is particularly useful for tasks like node classification, link prediction, and graph classification in fields such as bioinformatics, fraud detection, and network analysis, where relationships between entities are crucial.