Hi there! I’m Daniele Malitesta, a postdoc researcher at LUISS Guido Carli University (Rome, Italy) working with Prof. Vincenzo Lomonaco.

Previously, I was a postdoc researcher at Université Paris-Saclay (France) working with Prof. Fragkiskos Malliaros, and 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

• [Jun 15, 2026] With colleagues from Université Paris-Saclay, CNRS, Télécom Paris, and Entalpic, we’re organizing the LoG meetup event in Paris!
• [May 04, 2026] Vahan Martirosyan from Université Paris-Saclay is presenting our paper “Generalization Bounds for Spectral GNNs via Fourier Domain Analysis” at AISTATS 2026 in Morocco!

Latest news

• [May 01, 2026] I’ve joined the COLLAGE lab at LUISS Guido Carli University working with Prof. Vincenzo Lomonaco!
• [Apr 28, 2026] The proceedings of the SmaLLEXT workshop, co-located with CIKM 2025, are out (check them out –>link)!
• [Mar 26, 2026] The proceedings of the DaQuaMRec workshop, co-located with RecSys 2025, are out (check them out –>link)!
• [Feb 14, 2026] Our paper “Training-free Graph-based Imputation of Missing Modalities in Multimodal Recommendation” w/ colleagues from Université Paris-Saclay and Politecnico di Bari has been accepted at IEEE TKDE!

Recent publications

A selection of recent publications (for the full list, please visit this link).

• Training-free Graph-based Imputation of Missing Modalities in Multimodal Recommendation
  Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Tommaso Di Noia, Fragkiskos D. Malliaros
  IEEE TKDE
  [code]

• Generalization Bounds for Spectral GNNs via Fourier Domain Analysis
  Vahan A. Martirosyan, Daniele Malitesta, Hugues Talbot, Jhony H. Giraldo, Fragkiskos D. Malliaros
  AISTATS 2026
  [code]

• On the Impact of Graph Neural Networks in Recommender Systems: A Topological Perspective
  Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Alberto Carlo Maria Mancino, Alejandro Bellogín, Tommaso Di Noia
  arXiv preprint

• Large-scale Benchmarks for Multimodal Recommendation with Ducho
  Matteo Attimonelli, Danilo Danese, Angela Di Fazio, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia
  ESWA
  [code]

• Graph Machine Learning with Missing Multimodal Information
  Daniele Malitesta, Fragkiskos D. Malliaros
  LoG 2025 Tutorials

Contacts

• institutional email: dmalitesta [at] luiss [dot] it
• personal email: d [dot] malitesta [at] gmail [dot] com