Lorenzo Zangari

According to our database, Lorenzo Zangari authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Transformers for Graph-based Recommender Systems: A Survey.

Lorenzo Zangari, Silvio Raso, Andrea Tagarelli

Mach. Intell. Res., February, 2026

Heuristic-informed mixture of experts for link prediction in multilayer networks.

Lucio La Cava, Domenico Mandaglio, Lorenzo Zangari, Andrea Tagarelli

Inf. Sci., 2026

Evaluating Persona Consistency and Emotion Understanding in Small Language Models.

Jason Mina, Lorenzo Zangari, Alexandre Alahi, Davide Picca, Luigi Bagnato

Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

2025

A survey on moral foundation theory and pre-trained language models: current advances and challenges.

Lorenzo Zangari, Candida Maria Greco, Davide Picca, Andrea Tagarelli

AI Soc., August, 2025

ME2-BERT: Are Events and Emotions what you need for Moral Foundation Prediction?

Lorenzo Zangari, Candida Maria Greco, Davide Picca, Andrea Tagarelli

Proceedings of the 31st International Conference on Computational Linguistics, 2025

E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases.

Candida Maria Greco, Lorenzo Zangari, Davide Picca, Andrea Tagarelli

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Exploring LLMs' Ability to Spontaneously and Conditionally Modify Moral Expressions through Text Manipulation.

Candida Maria Greco, Lucio La Cava, Lorenzo Zangari, Andrea Tagarelli

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Link Prediction on Multilayer Networks through Learning of Within-Layer and Across-Layer Node-Pair Structural Features and Node Embedding Similarity.

Lorenzo Zangari, Domenico Mandaglio, Andrea Tagarelli

Proceedings of the ACM on Web Conference 2024, 2024

2022

Co-MLHAN: contrastive learning for multilayer heterogeneous attributed networks.

Liliana Martirano, Lorenzo Zangari, Andrea Tagarelli

Appl. Netw. Sci., 2022

2021

Graph convolutional and attention models for entity classification in multilayer networks.

Lorenzo Zangari, Roberto Interdonato, Antonio Caliò, Andrea Tagarelli

Appl. Netw. Sci., 2021