Abstract Knowledge graphs (KGs) model entities or concepts and their relations in a
structural manner. The incompleteness has turned out to be the main challenge that hinders …

In the dynamic landscape of modern education, the search for improved pedagogical
methods, enriched learning experiences, and empowered educators remains a perpetual …

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

Network biology, an interdisciplinary field at the intersection of computational and biological
sciences, is critical for deepening understanding of cellular functioning and disease. While …

Recent work in Natural Language Processing and Computer Vision has been using textual
information--eg, entity names and descriptions--available in knowledge graphs to ground …

Combining the generative abilities of large language models with the logical and factual
coherence of knowledge graphs using a connected artificial intelligence architecture …

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

Abstract Knowledge about transcription factor binding and regulation, target genes, cis-
regulatory modules and topologically associating domains is not only defined by functional …

Abstract Nanjing Yunjin, one of China's traditional silk weaving techniques, is renowned for
its unique local characteristics and exquisite craftsmanship, and was included in the …

The increasing complexity and customization of mechanical products have put forward
higher requirements on the quality and process iteration speed of machining parts. The …