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 …

Context: Knowledge graphs describe knowledge resources and their carriers through
visualization. Moreover, they mine, analyze, construct, draw, and display knowledge and …

Recent progress in video anomaly detection (VAD) has shown that feature discrimination is
the key to effectively distinguishing anomalies from normal events. We observe that many …

The cost of drug development continues to rise and may be prohibitive in cases of unmet
clinical need, particularly for rare diseases. Artificial intelligence-based methods are …

知识推理(KR) 作为知识图谱构建的一个重要环节, 一直是该领域研究的焦点问题.
随着知识图谱应用研究的不断深入和范围的不断扩大, 将图神经网络(GNN) …

Expertise is an activity carried out by experts that contributes to societal progress, as it helps
to elucidate unknown situations. For example, accident expertise eases accident …

In the context of mass personalization, the dynamic and erratic nature of customer
requirements (CRs) is increasingly pronounced. Amidst intensifying market competition …

In the challenging context of Knowledge Graph (KG) construction from text, traditional
approaches often rely on Open Information Extraction (OpenIE) pipelines. However, they are …

This study presents a comprehensive framework to enhance Wikidata as an open and
collaborative knowledge graph by integrating Open Biological and Biomedical Ontologies …

Low-resource relation extraction (LRE) aims to extract the relationships between given
entities from natural language sentences in low-resource application scenarios, which has …