Graph Machine Learning: An Overview

Graph Neural Networks (GNNs) are gaining attention in data science and machine learning but still remain poorly understood outside expert circles. To grasp this exciting approach, we must start with the broader field of Graph Machine Learning (GML). Many online resources talk about GNNs and GML as if they are interchangeable concepts or as if GNNs are a panacea approach that makes other GML approaches obsolete. This is simply not the case. One of GML's primary purposes is to compress large sparse graph data structures to enable feasible prediction and inference.