85 citations · 228 across the 10 of their papers we have counts for
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Node Embedding with Adaptive Similarities for Scalable Learning over Graphs
Dimitris Berberidis, Georgios B. Giannakis
Node embedding is the task of extracting informative and descriptive features over the nodes of a graph. The importance of node embeddings for graph analytics, as well as learning…
Adaptive Bayesian Radio Tomography
Donghoon Lee, Dimitris Berberidis, Georgios B. Giannakis
Radio tomographic imaging (RTI) is an emerging technology to locate physical objects in a geographical area covered by wireless networks. From the attenuation measurements collecte…
Adaptive Diffusions for Scalable Learning over Graphs
Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
Diffusion-based classifiers such as those relying on the Personalized PageRank and the Heat kernel, enjoy remarkable classification accuracy at modest computational requirements. T…