Graph Machine Learning (GML) is an emerging field at the intersection of graph theory and machine learning, designed to handle complex data with interconnected relationships. This technical talk will explore how machine learning algorithms can be applied to graph-structured data, introducing concepts like Graph Neural Networks (GNNs), node classification, link prediction, and graph embeddings. Participants will learn how GML is revolutionizing domains such as social networks, fraud detection, re