356 citations · 414 across the 10 of their papers we have counts for
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cs.LG2016★ 1 cited
Active Learning On Weighted Graphs Using Adaptive And Non-adaptive Approaches
Eyal En Gad, Akshay Gadde, A. Salman Avestimehr +1
This paper studies graph-based active learning, where the goal is to reconstruct a binary signal defined on the nodes of a weighted graph, by sampling it on a small subset of the n…
cs.LG2016★ 13 cited
Active Learning for Community Detection in Stochastic Block Models
Akshay Gadde, Eyal En Gad, Salman Avestimehr +1
The stochastic block model (SBM) is an important generative model for random graphs in network science and machine learning, useful for benchmarking community detection (or cluster…