Knowledge Graph, Knowledge Graph Embedding, Gnn, Graph Neural Networks, Graph Convolution Network.
tomorrow if the graph expands or we want to transfer learn to a graph of 10 nodes, then we wouldn’t know how to fit 10 nodes to 5 inputs Problem 3: Sensitive to node ordering- Since the graph is permutation invariant, if I change the ordering of the neighbours of any node, say A, then the whole