2020
Measuring and Improving the Use of Graph Information in Graph Neural Networks
ICLR 2020poster
Graph neural networks (GNNs) have been widely used for representation learning on graph data. However, there is limited understanding on how much performance GNNs actually gain from graph data. This paper introduces a context-surrounding GNN framework and proposes two smoothness metrics to measure t…