knowledge-graph-completion topic
datasets_knowledge_embedding
Datasets for Knowledge Graph Completion with textual information about the entities
SimKGC
ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
typedb-ml
TypeDB-ML is the Machine Learning integrations library for TypeDB
knowledge-graphs
A collection of research on knowledge graphs
dynamic-KG
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
SimplE
SimplE Embedding for Link Prediction in Knowledge Graphs
KGE
Some papers on Knowledge Graph Embedding(KGE)
knowledge-graph-embeddings
Implementations of Embedding-based methods for Knowledge Base Completion tasks
KGE-HAKE
The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.
ConvKB
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)