graph-machine-learning

Graph machine learning utilizes the structure of graphs, where data points are represented as nodes and relationships as edges, to perform various learning tasks. This approach is particularly effective for applications involving social networks, recommendation systems, and biological networks. Techniques in this area include graph neural networks and message-passing algorithms.