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2 Related Work
cently, graph neural networks (GNNs) (Defferrard, Bresson, and Vandergheynst 2016) have shown success in modelling graph-structured data. These include graph convolution net-works (GCNs) (Kipf and Welling 2016), graph attention net-works (GATs) (Veliˇckovi ´c et al. 2017) and multi-relational approaches (Schlichtkrull et al. 2018). However ...
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