Knowledge Graph, Knowledge Graph Embedding, Gnn, Graph Neural Networks, Graph Convolution Network.
parameters- We have 1 training example per node, but we have more parameters than training examples. This will make the training very unstable and will easily overfit. Problem 2: This framework is not applicable to graphs of different sizes-So if I train on this graph on a graph of 5 nodes and