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20162026
most citedSemi-Supervised Classification with Graph Convolutional Networks

8.1k citations · 9.1k across the 8 of their papers we have counts for

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stat.ML2016★ 891 cited

Variational Graph Auto-Encoders

Thomas N. Kipf, Max Welling

We introduce the variational graph auto-encoder (VGAE), a framework for unsupervised learning on graph-structured data based on the variational auto-encoder (VAE). This model makes…

cs.LG2016★ 8.1k cited

Semi-Supervised Classification with Graph Convolutional Networks

Thomas N. Kipf, Max Welling

We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of convolutional neural networks which operate directly o…