Browsing by Subject "Knowledge Graphs"
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Adversarial Robustness of Representation Learning for Knowledge Graphs
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Knowledge graphs represent factual knowledge about the world as relationships between concepts and are critical for intelligent decision making in enterprise applications. New knowledge is inferred from the existing facts ... -
Enhancing Rare Disease Research with Semantic Integration of Environmental and Health Data
(ACM, 2021)Knowledge Graph (KG) approaches are increasingly being used for data integration processes to combine clinical data with other data sources. Health Data Researchers (HDR) could benefit from these technologies since they ... -
Evaluating the usability of a semantic environmental health data framework: approach and study
(2023)Environmental exposures transported across air, land and water can affect our health making us more susceptible to developing a disease. Therefore, researchers need to face the complex task of integrating environmental ... -
Structural Characteristics of Knowledge Graphs Determine the Quality of Knowledge Graph Embeddings Across Model and Hyperparameter Choices
(2022)The realm of biomedicine is producing information at a rate far beyond the capacity of clinicians, researchers, and machine learning experts to analyse in full. Recently, developments in Knowledge Graphs (KGs) have ...