Recognizing Song Mood and Theme: Clustering-based Ensembles. - Maximilian Mayerl; Michael Vötter; Andreas Peintner; Günther Specht; Eva Zangerle (MediaEval, 2021)

Sequential Recommendation Models: A Graph-based Perspective. - Andreas Peintner (RecSys, 2023)

SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation. - Andreas Peintner; Amir Reza Mohammadi; Eva Zangerle (RecSys, 2023)

Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers. - Amir Reza Mohammadi; Andreas Peintner; Michael Müller; Eva Zangerle (RecSys, 2024)

Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags. - Marta Moscati; Hannah Strauß; Peer-Ole Jacobsen; Andreas Peintner; Eva Zangerle; Marcel Zentner; Markus Schedl (UMAP, 2024)

Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation. - Andreas Peintner; Amir Reza Mohammadi; Michael Müller; Eva Zangerle (WWW, 2025)

Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network. - Andreas Peintner; Marta Moscati; Yu Kinoshita; Richard Vogl; Peter Knees; Markus Schedl; Hannah Strauß; Marcel Zentner; Eva Zangerle (Trans. Int. Soc. Music. Inf. Retr., 2025)

Unsupervised Graph Embeddings for Session-based Recommendation with Item Features. - Andreas Peintner; Marta Moscati; Emilia Parada-Cabaleiro; Markus Schedl; Eva Zangerle (CoRR, 2025)