Datasets for Knowledge Graph Completion with textual information about the entities

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)

📝 A collection of common datasets used in knowledge embedding

[Neurocomputing 2023] Relational Graph Transformer for Knowledge Graph Representation

知识图谱数据集

[NLPCC 2023] Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings with Language Models

An enhanced model known as RAGATv2 which is built upon the structure of the Relation Aware Graph Attention Network (RAGAT)

Loop detector on triplet formatted data