Source code for NAACL 2019 paper "Fact Discovery from Knowledge Base via Facet Decomposition".
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Updated
May 15, 2019 - Python
Source code for NAACL 2019 paper "Fact Discovery from Knowledge Base via Facet Decomposition".
Impoving Relation Extraction by Knowledge embedding Learning
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.
Python implementation of OPTIC approach for Entity Linking
Implementation of ConvE proposed by Dettmers et al. in Convolutional 2D Knowledge Graph Embeddings.
Image-embodied Knowledge Representation Learning (IJCAI-2017)
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence (AAAI-2018)
Code and data for our paper "Iterative Entity Alignment via Joint Knowledge Embeddings"
COLING'2020: CoLAKE: Contextualized Language and Knowledge Embedding
Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI-2016)
Entity Alignment toolkit (EAkit), a lightweight, easy-to-use and highly extensible PyTorch implementation of many entity alignment algorithms.
Representation Learning of Knowledge Graphs with Hierarchical Types (IJCAI-2016)
Knowledge Representation Learning with Entities, Attributes and Relations
Must-read papers on entity alignment published in recent years
An Efficient implementation of TransE and its extended models for Knowledge Representation Learning
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