An Open-Source Package for Knowledge Embedding (KE)

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

Must-read papers on entity alignment published in recent years

An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow

An Efficient implementation of TransE and its extended models for Knowledge Representation Learning

Entity Alignment toolkit (EAkit), a lightweight, easy-to-use and highly extensible PyTorch implementation of many entity alignment algorithms.

📝 A collection of common datasets used in knowledge embedding

Knowledge Representation Learning with Entities, Attributes and Relations

COLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding

Representation Learning of Knowledge Graphs with Hierarchical Types (IJCAI-2016)

Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI-2016)

Code and data for our paper "Iterative Entity Alignment via Joint Knowledge Embeddings"

Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence (AAAI-2018)

Image-embodied Knowledge Representation Learning (IJCAI-2017)

Implementation of ConvE proposed by Dettmers et al. in Convolutional 2D Knowledge Graph Embeddings.

Source code for NAACL 2019 paper "Fact Discovery from Knowledge Base via Facet Decomposition".

Python implementation of OPTIC approach for Entity Linking

This repository is for managing our work on anomaly detection in financial services using knowledge graphs and machine learning for the CADS internship during the month of July 2021.

Impoving Relation Extraction by Knowledge embedding Learning