100 citations · 371 across the 26 of their papers we have counts for
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cs.LG2019
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…
cs.LG2019★ 56 cited
A Comparative Study for Unsupervised Network Representation Learning
Megha Khosla, Vinay Setty, Avishek Anand
There has been appreciable progress in unsupervised network representation learning (UNRL) approaches over graphs recently with flexible random-walk approaches, new optimization ob…