Graph Neural Networks Are Cool
I was reading up on Graph Neural Networks(GNN) recently. The way researchers formulated the GNN architectures is really interesting. The easiest way to understand GNNs is to compare it with CNN. Consequently, there is an architecture called GCNN or Graph Convolutional Neural Networks. GNNs and CNNs share some common motivation like, using shared parameters. Without shared parameters, CNN and GNNs both would need infeasible amount of parameters. CNNs solve this problem by exploiting the local spatial correlation of images. GNNs solve this problem using a node’s adjacency matrix. ...