Generative Knowledge Graph Construction (KGC) refers to those methods that leverage the
sequence-to-sequence framework for building knowledge graphs, which is flexible and can …

Computer-aided process planning is the bridge between computer-aided design and
computer-aided manufacturing. With the advent of the intelligent manufacturing era, process …

Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …

Large language model (LLM) based knowledge graph completion (KGC) aims to predict the
missing triples in the KGs with LLMs and enrich the KGs to become better web infrastructure …

Geometric transformations including translation, rotation, and scaling are commonly used
operations in image processing. Besides, some of them are successfully used in developing …

Knowledge graphs play a vital role in numerous artificial intelligence tasks, yet they
frequently face the issue of incompleteness. In this study, we explore utilizing Large …

Knowledge Graph Completion (KGC) often requires both KG structural and textual
information to be effective. Pre-trained Language Models (PLMs) have been used to learn …

Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …

Recently decades have witnessed the empirical success of framing Knowledge Graph (KG)
embeddings via language models. However, language model-based KG embeddings are …

Clinical predictive models often rely on patients' electronic health records (EHR), but
integrating medical knowledge to enhance predictions and decision-making is challenging …