136 citations · 213 across the 6 of their papers we have counts for
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cs.LG2019★ 1 cited
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
Martin Simonovsky
A graph is a powerful concept for representation of relations between pairs of entities. Data with underlying graph structure can be found across many disciplines and there is a na…
cs.LG2018★ 136 cited
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
Martin Simonovsky, Nikos Komodakis
Deep learning on graphs has become a popular research topic with many applications. However, past work has concentrated on learning graph embedding tasks, which is in contrast with…