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Type: Organization
Type: Organization
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
A collection of important graph embedding, classification and representation learning papers with implementations.
A collection of research on knowledge graphs
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Repository for benchmarking graph neural networks
A short tutorial to build a RDF Knowledge Graph from 2 CSV files using YARRRML mappings
This repository contains educational materials for a Masters course on knowledge graphs developed by the Institute of Data Science at Maastricht University
The code and the datasets used in the "COCOA: COrrelation COefficient-Aware Data Augmentation" paper.
🦠 Notebooks for the COVID-KG
Code and files to go along with CS329s machine learning model deployment tutorial.
Converting tabular data into semantic knowledge
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A tool to convert EBM models to ONNX
🏷️ Python library and CLI to generate FAIR metadata for your dataset
🧙♂️📝 JSON-LD web editor, with autocomplete based on the loaded ontologies concepts and properties
Must-read papers on graph neural networks (GNN)
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
🧭 Resolve, visualize and browse the content of any SPARQL endpoint
Some papers on Knowledge Graph Embedding(KGE)
LibKGE - A knowledge graph embedding library for reproducible research
Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.
Multi-Hop Logical Reasoning in Knowledge Graphs
Exercises for the Analysis of Knowledge Graphs
Insightful Tutorials and Papers about Knowledge Graphs
ISWC 2020 Tutorial: How to build large knowledge graphs efficiently (LKGT)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.