Accordingly, one very popular GNN architecture is the graph convolutional neural network (GCN), which uses convolution layers to create graph embeddings. Applications of graph neural networks.

Assuming that the edge weights are non-negative, the minimum cost cut can be calculated in polynomial time via algorithms for two terminal graph cuts. Additionally, segmentation edition can also be ...