# e2r

**Repository Path**: gzupanda/e2r

## Basic Information

- **Project Name**: e2r
- **Description**: Code for our neurips 2019 paper "Quantum Embedding of Knowledge for Reasoning" (authors: Dinesh Garg, Shajith Ikbal, Santosh K Srivastava, Harit Vishwakarma, Hima Karanam, L Venkata Subramaniam)
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-12-04
- **Last Updated**: 2020-12-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Quantum Embedding of the Knowledge

A novel approach proposed (by Knowledge & Reasoning Group at IBM Research AI, India) to embed symbolic Knowledge Base (KB), inspired by the theory of Quantum Logic. The goal is to be able to replicate the logical structure of the KB and symbolic logical reasoning in the embedding space. We call this approach E2R (Embed2Reason).


This work is first accepted for publication at **NeurIPS 2019 Conference** with paper details as below: 
> Dinesh Garg, Shajith Ikbal, Santosh K Srivastava, Harit Vishwakarma, Hima Karanam, L Venkata Subramaniam, "Quantum Embedding of Knowledge for Reasoning", _to appear in Proc. of Neural Information Processing Systems (NeurIPS) 2019_, Vancouver, Canada, 2019.


The purpose of this repository is to open-source material relavant to our Quantum embedding work (under Apache 2.0 License). Details about the current set of folders are given below:
* **neurips2019** contains code, experimental setup and presentation (in PDF) of our neurips 2019 paper work.