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cs.LG2019★ 22 cited
GraphSAC: Detecting anomalies in large-scale graphs
Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis
A graph-based sampling and consensus (GraphSAC) approach is introduced to effectively detect anomalous nodes in large-scale graphs. Existing approaches rely on connectivity and att…
cs.LG2018
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…