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Demonstration of explanations extracted by the Kelpie framework for embedding-based Link Prediction models

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Kelpie Demo

This repository contains the code for a simple demonstration of the Kelpie Framework to explain embedding-based Link Prediction models on Knowledge Graphs.

The Kelpie framework has been presented with a research paper at the SIGMOD 2022 conference.

Our Kelpie demonstration will be presented at the VLDB 2022 conference.

Note: due to the impossibility to host a demo on a GPU-intensive server, this application just displays pre-computed results obtained by the Kelpie framework.

Getting Started

git clone https://github.com/AndRossi/Kelpie-demo
cd Kelpie-demo
npm install
npm run dev

Navigate to localhost:8080. You should see your app running. If you edit and save any component file in src, you can reload the page to see your changes.

Svelte

The demo is a simple static page devel developed with the Svelte framework. It can be deployed to Vercel with zero-configuration.

Deploy with Vercel

Deploy with Vercel

Live Example: https://svelte.vercel.app

Credits

This demo has been developed with a huge help by my elder brother Luca Rossi. In addition to being an amazing brother Luca is the author of Refactoring, a top-notch newsletter on Engineering management and leadership. You should definitely have a look at it!

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Demonstration of explanations extracted by the Kelpie framework for embedding-based Link Prediction models

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