steve.azzolin {at} unitn {dot} it
Ciao 👋
My name is Steve Azzolin and I'm currently an ELLIS PhD student co-supevised by the University of Trento, FBK, and the University of Cambridge.
My first exposure to research was a research internship position at SISLab where I worked on Sentiment Analysis. I then got interested in Graph Neural Networks and Explainability and I joined the University of Cambridge for my MSc Thesis under the supervision of Prof. Pietro Liò and Prof. Andrea Passerini. You can download my CV here.
INTERESTS: Graph Neural Networks; Representation Learning; Explainability
EDUCATION: BSc in Computer Science; MSc in Artificial Intelligence Systems
Spotlights
Advanced Pytorch Geometric Tutorial Season 2
Available soon!
AIT Journal Club
Check the website to stay up-to-date with the last events
News
Let's stay in touch on Twitter
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Organizing the Trento LOG meetup |
11/27-11/30 2023 |
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Hand-on tutorial on XAI for GNNS @ TuringInstitute |
11/16/2023 |
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Starting of my PhD |
11/01/2023 |
Publications
For an up-to-date list, check out my Scholar
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A Simple Latent Variable Model for Graph Learning and Inference M. Jaeger, A. Longa, , O. Schulte, A. Passerini [LOG2023] |
2023 |
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Global Explainability of GNNs via Logic Combination of Learned Concepts , A. Longa, P. Barbiero, P. Liò, A. Passerini [ICLR2023] |
2023 |
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Global Explainability of GNNs via Logic Combination of Learned Concepts , A. Longa, P. Barbiero, P. Liò, A. Passerini [LOG2022 - Extended Abstract] |
2022 |
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Explaining the Explainers in Graph Neural Networks: a Comparative Study A. Longa, , G. Santin, G. Cencetti, P. Liò, B. Lepri, A. Passerini [preprint] |
2022 |
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Multi-source Multi-domain Sentiment Analysis with BERT-based Models G. Roccaruna, , G. Riccardi [LREC 2022] |
2022 |
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Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives S.M. Mousavi, G. Roccabruna, A. Tammewar, , G. Riccardi [WASSA ACL Workshop] |
2022 |
Talks
XAI4GNNs Hands-on Tutorial
Hands-on Tutorial of XAI4GNNs held at the Turing Institute.
Global Explainability of GNNs via Logic Combination of Learned Concepts
Shorter version of my prev. Cambridge Talk held at the AI Trento Journal Club.
Global Explainability of GNNs via Logic Combination of Learned Concepts
Presented our latest work on Global Explainability of GNNs via Logic Combination of Learned Concepts at the University of Cambridge as part of the Artificial Intelligence Research Group Talks series.