Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds

16 May 2018Daniele GrattarolaDaniele ZambonCesare AlippiLorenzo Livi

The space of graphs is often characterised by a non-trivial geometry, which complicates learning and inference in practical applications. A common approach is to use embedding techniques to represent graphs as points in a conventional Euclidean space, but non-Euclidean spaces have often been shown to be better suited for embedding graphs... (read more)

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