38 citations · 98 across the 11 of their papers we have counts for
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cs.SI2019★ 5 cited
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
In this paper we present EvalNE, a Python toolbox for evaluating network embedding methods on link prediction tasks. Link prediction is one of the most popular choices for evaluati…
cs.LG2019★ 38 cited
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization
Alexander Jung, Alfred O. Hero, Alexandru Mara +3
We propose and analyze a method for semi-supervised learning from partially-labeled network-structured data. Our approach is based on a graph signal recovery interpretation under a…