Run Link Prediction or Node Classification Algorithms and Write Custom Procedures in C++ With Mage 1.4

MAGE 1.4, the latest release of Memgraph's open-source graph extension library, enhances support for graph machine learning by enabling node classification and link prediction algorithms, facilitating the classification of graph nodes and prediction of new relationships. It integrates with the C++ community through a new API that simplifies graph algorithm development by managing memory automatically, similar to Python, and features integration with the igraph library, offering efficient memory usage. The update also includes support for NetworkX, cuGraph on CUDA devices, and introduces the k-means clustering algorithm, which groups data by minimizing variance within clusters. These features aim to simplify and expand graph algorithm capabilities, with comprehensive documentation and community support available on GitHub and Discord.