Daniele Malitesta
Scholar

Daniele Malitesta

Google Scholar ID: Aeg9i_IAAAAJ
Postdoc Researcher, CentraleSupélec, Inria, Université Paris-Saclay
Graph Representation LearningRecommender SystemsMultimodal Deep Learning
Citations & Impact
All-time
Citations
655
 
H-index
13
 
i10-index
17
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • Paper 'A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph' accepted at RecSys 2024
  • Paper 'Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?' accepted at CIKM 2024
  • Paper 'Uplift Modelling under Limited Supervision' accepted at ECML-PKDD 2024
  • Recognized as Outstanding Reviewer at RecSys 2024 and LoG 2024
  • Co-organized the LoG 2024 Meetup in Paris
  • Multiple preprints on arXiv covering multimodal recommendation, fairness in diffusion recommenders, and link prediction