Preprint Open access
Scalable GNN-based Knowledge Graph Representation Learning with Efficient Message Passing
Graph neural networks (GNNs) excel at representation learning on Knowledge Graphs (KGs), achieving stateof-the-art performance on tasks like link prediction or entity classification. However, their high computational complexity, inherent to their user-defined message passing (MP) algorithm, still prohibits their widesp …