Vladimir Velickovic is a prominent researcher in the field of artificial intelligence, particularly known for his work on graph neural networks. He has contributed significantly to the development of algorithms that enable machines to learn from complex data structures, which has applications in various domains, including social networks and biological systems. Velickovic has been affiliated with several academic institutions and has published numerous papers in top-tier journals and conferences. His research aims to improve the understanding and efficiency of machine learning models, making them more effective in processing interconnected data, which is crucial for advancements in AI and data science.