MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph.

The mining of walks is an interesting alternative for node classification in knowledge graphs. Opposed to the current state-of-the-art that uses deep learning techniques, it results in inherently interpretable or transparent models without a sacrifice in terms of predictive performance.