Varun Nandkumar Golani's repositories
EvoLearner
EvoLearner: Learning Description Logics with Evolutionary Algorithms
fkg-mini-project
Machine Learning (ML) algorithms need data in the form of feature vectors and class labels to come up with a trained model and predict new instances with that trained model. Data stored in Knowledge Graph(s) (KG) is in the form of triples. To apply ML algorithms on KG, we need to convert the individuals in the learning problem into feature vectors. One way to tackle this task is to use KG embedding.
fkg-mini-project-refinement
As often done in node classification on knowledge graphs we use the positive and negative examples to learn concepts in description logics using refinement operators. This way the classifications should not only be accurate but also explainable by looking at the concept, at least for domain experts depending on the ontology.
idv-covid19
This repository contains visualizations for covid19 data.