Machine learning and recently, graph neural networks become ubiquitous, e.g., in cheminformatics, bioinformatics, fraud detection, question answering, and recommendation over knowledge graphs. In this ...

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

Data science and machine learning are also being integrated into software applications and are also being used as part of IoT, AI and Computer Science solutions. The aim of this module is to equip ...

More information: Xiaorui Su et al, Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning, Nature Biomedical Engineering (2025).

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset ...

Upon completion of this course, participants should be able to: ¿ Understand how big data and machine learning can complement traditional data and analytical techniques in macroeconomic analysis and ...