FB-15k-237

Dataset Card for FB15k-237 Dataset Summary FB15k-237 is a link prediction dataset created from FB15k. While FB15k consists of 1,345 relations, 14,951 entities, and 592,213 triples, many triples are inverses that cause leakage from the training to testing and validation splits. FB15k-237 was created by Toutanova and Che

Papers using FB-15k-237 (9)

Enhancing Knowledge Graph Completion with GNN Distillation and Probabilistic Interaction Modeling2025Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction2023 · 2 citesPre-training Transformers for Knowledge Graph Completion2023 · 1 citesSemi-supervised Training for Knowledge Base Graph Self-attention Networks on Link Prediction2022Using Graph Algorithms to Pretrain Graph Completion Transformers2022Modelling Multi-relations for Convolutional-based Knowledge Graph Embedding2022Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition2022A Pre-training Framework for Knowledge Graph Completion2023Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks2023