Learnable Graph Convolutional Network (LGCN)

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A Learnable Graph Convolutional Network (LGCN) is a Spatial Graph Convolutional Network that is a densely connected convolutional network.



References

2020

2018

2018 LargeScaleLearnableGraphConvolu Fig3.png
Figure 3: An illustration of the proposed learnable graph convolutional network (LGCN). In this example, the nodes in the input have two features. The input feature vectors are transformed into low-dimensional representations using a graph embedding layer. After that, we stack two LGCL layers with skip concatenation connections to refine the feature vectors of each node. Finally, a fully-connected layer is used for node classification. There are three different classes in this example.