About me
Hi there! I’m Daniele Malitesta, a postdoc researcher at CentraleSupélec (Université Paris-Saclay) working with Prof. Fragkiskos Malliaros.
Previously, I pursued my PhD in Electrical and Information Engineering at Politecnico di Bari under the supervision of Prof. Tommaso Di Noia.
My main research topics are Graph Representation Learning, Recommender Systems, and Multimodal Deep Learning.
Upcoming events
There is nothing to share here (for the moment)…
Latest news
- [Mar 24, 2024] We hosted the IRonGraphs workshop, co-located with ECIR 2024, in Glasgow!
- [Mar 08, 2024] Ducho v2.0 was accepted as a resource paper at the 2024 ACM Web Conference!
- [Mar 01, 2024] I joined CentraleSupélec (Université Paris-Saclay) working as a postdoc researcher with Prof. Fragkiskos Malliaros on graph machine learning!
- [Feb 05, 2024] I gave a talk at the Glasgow Information Retrieval Group at the University of Glasgow entitled: A Topology-aware Analysis of Graph Collaborative Filtering.
- [Jan 30, 2024] I successfully defended my PhD thesis entitled: Graph Neural Networks for Recommendation leveraging Multimodal Information!
Recent publications
A selection of recent publications (for the full list, please visit this link).
Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation
Matteo Attimonelli, Danilo Danese, Daniele Malitesta, Claudio Pomo, Giuseppe Gassi, Tommaso Di Noia
The 2024 ACM Web Conference
[code]Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach
Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Fragkiskos D. Malliaros, Tommaso Di Noia
arXiv preprintGraph Neural Networks for Treatment Effect Prediction
George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun Pang
arXiv preprintGraph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation
Daniele Malitesta, Claudio Pomo, Tommaso Di Noia
LoG 2023
[website][code]Formalizing Multimedia Recommendation through Multimodal Deep Learning
Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Felice Antonio Merra, Tommaso Di Noia, Eugenio Di Sciascio
arXiv preprint
[code]A Topology-aware Analysis of Graph Collaborative Filtering
Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Alberto Carlo Maria Mancino, Eugenio Di Sciascio, Tommaso Di Noia
arXiv preprint
[code][slides]
Contacts
- institutional email: daniele.malitesta@centralesupelec.fr
- personal email: d.malitesta@gmail.com