With Knowledge Graphs (KGs) at the center of numerous applications such as recommender
systems and question-answering, the need for generalized pipelines to construct and …

Graph Foundation Models (GFMs) are emerging as a significant research topic in the graph
domain, aiming to develop graph models trained on extensive and diverse data to enhance …

[Background.] Empirical research in requirements engineering (RE) is a constantly evolving
topic, with a growing number of publications. Several papers address this topic using …

With knowledge graphs (KGs) at the center of numerous applications such as recommender
systems and question answering, the need for generalized pipelines to construct and …

In recent years, transformer-based models have emerged as powerful tools for natural
language processing tasks, demonstrating remarkable performance in several domains …

In scientific papers, it is common practice to cite other articles to substantiate claims, provide
evidence for factual assertions, reference limitations, and research gaps, and fulfill various …

Online platforms have become the primary means for travellers to search, compare, and
book accommodations for their trips. Consequently, online platforms and revenue managers …

In recent years, the significance of Environmental, Social, and Governance criteria in
assessing financial investments has grown significantly. This paper presents an AI-driven …

Today we have tons of information posted on the web every day regarding job supply and
demand which has heavily affected the job market. The online enrolling process has thus …

Named Entity Recognition (NER) models play a crucial role in various NLP tasks, including
information extraction (IE) and text understanding. In academic writing, references to …