2021
Combining Label Propagation and Simple Models out-performs Graph Neural Networks
ICLR 2021poster
Graph Neural Networks (GNNs) are a predominant technique for learning over graphs. However, there is relatively little understanding of why GNNs are successful in practice and whether they are necessary for good performance. Here, we show that for many standard transductive node classification bench…