Finding Interpretable Concept Spaces in Node Embeddings using Knowledge Bases

Maximilian Idahl, Megha Khosla, Avishek Anand

In this paper we propose and study the novel problem of explaining node embeddings by finding embedded human interpretable subspaces in already trained unsupervised node representa…