Multi-view Enhanced Graph Attention Network for Session-based Music Recommendation.

The article focuses on the development of a Multi-view Enhanced Graph Attention Network (MEGAN) for session-based music recommendation, addressing the limitations of traditional music recommender systems that primarily rely on user interactions. Topics include the challenges posed by the increasing availability of digital music content, the limitations of traditional music recommender systems, and the changing patterns of users' music listening behavior.