There are 13 repositories under knowledge-graph-completion topic.
A collection of research on knowledge graphs
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
Implementations of Embedding-based methods for Knowledge Base Completion tasks
Datasets for Knowledge Graph Completion with textual information about the entities
The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)
Implementation of TransE model in PyTorch.
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
[Neurocomputing 2023] Relational Graph Transformer for Knowledge Graph Representation
Knowledge Base Question Answering using memory networks
AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)
The code of paper Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion. Zhanqiu Zhang, Jianyu Cai, Jie Wang. NeurIPS 2020.
Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)
QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings (TheWebConf WWW 2022) (Pytorch)
Must-read papers on Knowledge Graph Embedding
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion
Keras implementation of path-based link prediction model for knowledge graph completion
This repository contains the source code for the WWW 2020 paper "Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning"
Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE