Category: Graphsage

Graph Neural Networks Part 3: How GraphSAGE Handles Changing Graph Structure In the previous parts of this series, we looked at Graph Convolutional Networks (GCNs) and Graph Attention Networks (GATs). Both architectures work fine, but they also have some limitations! A big one is that for large graphs, calculating the node representations with GCNs and…