PRGE

KO | EN

gitlite — search

#javascript #python #hacktoberfest #typescript #machine-learning #rust #macos #java #windows #cli #vue #pytorch #ios #open-source

(★ 12)

Error detection in Knowledge Graphs: Path Ranking, Embeddings or both?

PRGE 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# PRGE
Error detection in Knowledge Graphs: Path Ranking, Embeddings or both?

![alt text](https://github.com/RomFas/PRGE/blob/master/img/PRGE.png "PRGE Framework")

## Introduction
Here we provide the code for the Path Ranking Guided Embeddings (PRGE) framework. This is a hybrid approach that utilizes confidence scores from a Path Ranking method to Train Knowledge Graph Embeddings.

## Scripts
- PRGE training script in src folder
  - Need to provide triples file and confidence scores file for training. Confidence scores can be obtained from any PRA method, here, we used PaTyBRED by Melo et al. (see [here](https://github.com/aolimelo/kged) and [here](https://dl.acm.org/doi/10.1145/3148011.3148033) for details)
- Evaluation notebooks for results (already run with provided results)

## Data
We provide already trained embeddings (download from [here](https://owncloud.skel.iit.demokritos.gr/index.php/s/Ba1z5YvtBGKGijj)) and additional files for 3 different datasets: 2 benchmark datasets (FB15K, WN18) and one custom dataset (Dementia, see [here](https://arxiv.org/pdf/1912.08633.pdf) for more info). These embeddings can be directly used for the evaluation scripts. The additional files (triples/confidence scores) can be used to train the embeddings from scratch using the cpp script provided.

PRGE

PRGE 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

PRGE

PRGE 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README