[Visualization] Non-Euclidean Embeddings for Graph Analytics and Visualisation
TimeTuesday, 19 November 20199:00 - 18:00
DescriptionThis research project uses machine learning techniques to generate optimised embeddings of graphs in different types of geometric spaces. Our approach utilises non-euclidean geometries in the data processing and visualisation stages. This results in a flexible, versatile, and interactive visualisation tool, which is suitable for a variety of graph analytics use cases across different high-end visualisation systems and display types.