Tutorial Pt.0 Introduction Pt.1 Reproducibility Pt.2 Graph Topology Pt.3 Node Representation

Part 3. Node Representation

This page contains the useful resources for part 3 of the tutorial: Node Representation.

Duration: 45 minutes

Panelist: Daniele Malitesta

• Design choices to train node embeddings from scratch: 20 minutes
• [Hands-on #2] Leveraging item’s side-information (e.g., multimodal features) to represent node embeddings: 25 minutes

Materials: [slides] [colab]

Papers

• Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo: Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering. ECIR (1) 2023: 33-48.
  [paper][code]
• Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Felice Antonio Merra, Tommaso Di Noia, Eugenio Di Sciascio: Formalizing Multimedia Recommendation through Multimodal Deep Learning. CoRR abs/2309.05273 (2023).
  [paper][code]
• Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia: On Popularity Bias of Multimodal-aware Recommender Systems: A Modalities-driven Analysis. MMIR@MM 2023: 59-68.
  [paper][code]