Artificial Intelligence #graph inductive learning#knowledge graph completion
Model Graph Inductive Learning Achieves State-of-the-Art Performance in Knowledge Graph Completion
The paper introduces Model Graph Inductive Learning (MGIL), a framework that constructs a model graph by clustering entities based on relational structure or entity types, applies a GNN to produce global embeddings, and uses these as initial features for the original knowledge graph. Experiments show state-of-the-art performance on inductive link prediction benchmarks.
Jun 16, 2026 1 source