iml4e Goto Github PK

mafalda

MAtchmaking Features for mAchine Learning Data Analysis

networkx

Network Analysis in Python

ontologies-w-python

Source Code for 'Ontologies with Python' by Lamy Jean-Baptiste

openke

An Open-Source Package for Knowledge Embedding (KE)

pdflib

Binary Python bindings for poppler utils for content extraction

pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

pykg2vec

Python library for knowledge graph embedding and representation learning.

pyrdf2vec

🐍 Python Implementation and Extension of RDF2Vec

r2rml

rdf-generator

Converting structured and semi-structured data into RDF graphs.

rdfframes

A python API for exposing and processing RDF data from sparql endpoints for data mining and machine learning models in convenient formats like Pandas dataframes.

rdflib

RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.

research.alaska

research.lpca

This project analyzes the results of various models for Link Prediction on Knowledge Graphs using Knowledge Graph Embeddings. It allows to replicate the results in our work "Knowledge Graph Embeddings for Link Prediction: A Comparative Analysis" (https://arxiv.org/abs/2002.00819). Principal contributor: ANDREA ROSSI (https://github.com/AndRossi)

semantic-knowledge-graph

sparql-engine-for-python

✨️ SPARQL endpoint to serve machine learning models, or any other logic implemented in Python

stellargraph

StellarGraph - Machine Learning on Graphs

sti

Implementation of algorithms for semantic table implementation, including the TableMiner+ method

tarql

SPARQL for Tables: Turn CSV into RDF using SPARQL syntax

transgat

KGClean: An Embedding Powered Knowledge Graph Cleaning Framework

um_ken4256_knowledgegraphs

Resources for the KG course at IDS, Maastricht University

web-karma

Information Integration Tool

wsdm21-hands-on-tutorial

Scalable Graph Neural Networks with Deep Graph Library

xml2rdf

📄 A simple XML to RDF converter