Abstract: In recent years, session-based recommender systems (SBRSs) have emerged as a new paradigm of recommender systems to help users in their different decision-making processes. The goal of SBRSs ...

Representing a molecule in a way that captures both its structure and function is central to tasks such as molecular property prediction, drug drug ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Abstract: The development of abstractive summarization methods is a crucial task in Natural Language Processing (NLP) that presents challenges, which require the creation of intelligent systems that ...