Machine Learning (ML) can indeed be used on highly interlinked data. ML algorithms are designed to handle complex and interconnected data structures, making them well-suited for analyzing and extracting insights from such datasets. In this context, highly interlinked data refers to data where the entities are connected through various relationships or dependencies. One common example