289 citations · 539 across the 10 of their papers we have counts for
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cs.LG2020★ 50 cited
Graph Clustering with Graph Neural Networks
Anton Tsitsulin, John Palowitch, Bryan Perozzi +1
Graph Neural Networks (GNNs) have achieved state-of-the-art results on many graph analysis tasks such as node classification and link prediction. However, important unsupervised pr…
cs.LG2020★ 32 cited
FREDE: Anytime Graph Embeddings
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin +3
Low-dimensional representations, or embeddings, of a graph's nodes facilitate several practical data science and data engineering tasks. As such embeddings rely, explicitly or impl…