Hi I’m Manuel Dileo and I’m a PhD student at Connets Lab, University of Milan. My research interests lie in the intersection between machine learning on graphs and network science. I’m currently working on temporal graph learning and temporal knowledge graphs. Enemies to Lovers story with Python. I’m a former visiting researcher at the University of Edinburgh and Google Developer Student Club lead.

News

• Happy to announce we will host a special session titled “Network Science meets AI” at the next ESANN conference! Submit your 6-page paper by Nov 20, 2024.

Latest publications

• Paper accepted at Machine Learning Journal! Read “Discrete-time graph neural networks for transaction prediction in Web3 social platforms”
• Paper accepted at Machine Learning Journal! Read “Temporal Graph Learning for Dynamic Link Prediction with Text in Online Social Networks”
• For a full and updated list of my publications see my Google Scholar

Conference talks and posters

• Temporal Graph Neural Networks and Language Models for link prediction in Online Social Networks @ NetSciX2024
• Blockchain-data: a playground for temporal graph learning @ LOG 2023 - Italian Meetup
• Dynamic link prediction with textual content in Web3 social platforms @ ITADATA2023
• Link prediction in blockchain online social networks with textual information @ CNA22
• The impact of textual content on link prediction in online social networks @ CompleNet2022

Seminars and Workshops

• Demystifying Graph Neural Networks: General talk about how GNNs work, when they are successful, and when they can fail, as GNNs do not represent the state-of-the-art for any kind of graphML task.
• Introduction to Graph Neural Networks: Teaching material for machine learning on graphs’ lectures and lab. sessions held for various seminars, master degree and PhD courses on graphML. Recording of a seminar on GNNs is available for those who understand italian.