Description: Node classification is a fundamental task in the field of artificial intelligence and data science, which involves predicting the category of a node in a network based on its characteristics and connections. This process involves the use of machine learning algorithms that analyze the properties of nodes and their relationships with other nodes to assign them a specific label or class. Node classification is particularly relevant in various types of networks, including social networks, where the influence of users is identified, recommendation systems, where products or services are grouped, and fraud detection, where suspicious transactions are classified. Classification methods can vary from supervised approaches, where labeled data is used to train models, to unsupervised approaches, which seek patterns in unlabeled data. The ability to effectively classify nodes allows organizations to make informed decisions and optimize their strategies in various areas, from marketing to cybersecurity.
