June 30th, 2023
Categories: Applications, Software, Visualization, Visual Analytics, Machine Learning, Data Science, High Performance Computing
EVL professor Mike Papka and his research students have been awarded an Honorable Mention in the EuroVis Best Paper Category for “ChemoGraph: Interactive Visual Exploration of the Chemical Space”. Co-authored by collaborators Bharat Kale, Austin Clyde, Maoyuan Sun, Arvind Ramanathan, Rick Stevens, and Michael E. Papka, ChemoGraph is a novel visual analytics technique for interactively exploring related chemicals. A chemical space is formalized as a hypergraph with novel machine-learning models to compute related chemical compounds applied. It uses a database to find related compounds from an available space and a machine learning model to generate new ones, which helps enlarge the known space. Moreover, ChemoGraph highlights interactive features that support users in viewing, comparing, and organizing computationally identified related chemicals.
See a video teaser on EVLTube.