Knowledge Representation Learning with Entities, Attributes and Relations
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Updated
Apr 29, 2017 - C++
Knowledge Representation Learning with Entities, Attributes and Relations
Code and data for our paper "Iterative Entity Alignment via Joint Knowledge Embeddings"
Implementation of ConvE proposed by Dettmers et al. in Convolutional 2D Knowledge Graph Embeddings.
Representation Learning of Knowledge Graphs with Hierarchical Types (IJCAI-2016)
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence (AAAI-2018)
Source code for NAACL 2019 paper "Fact Discovery from Knowledge Base via Facet Decomposition".
Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI-2016)
Impoving Relation Extraction by Knowledge embedding Learning
Python implementation of OPTIC approach for Entity Linking
COLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding
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.
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
Image-embodied Knowledge Representation Learning (IJCAI-2017)
Entity Alignment toolkit (EAkit), a lightweight, easy-to-use and highly extensible PyTorch implementation of many entity alignment algorithms.
An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow
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