INK: Instance Neighbouring by using Knowledge
Project description
INK: Instance Neighbouring using Knowledge
INK is a binary data structure for representing a knowledge graph (KG), taking into account nodes and their neighbourhoods till a certain, specified depth.
This repository contains:
- The code to transform a KG into the binary INK matrix representation
- The code INK Miner code: Semantic rule mining on the INK representation for both task-specific and task-agnostic use cases.
Installation
pip install semantic-ink- or clone this repository
Usage
See the example notebook for more information on how to use INK and the INK miner.
Publications
Coming soon.
Contributing
Pull requests are welcome.
For major changes, please open an issue first to discuss what you would like to change.
License
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file semantic_ink-0.0.2-py3-none-any.whl.
File metadata
- Download URL: semantic_ink-0.0.2-py3-none-any.whl
- Upload date:
- Size: 22.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3a8cc58268b4bb63a81aad8e919003b494c339571e0f88489d9fa239d2dc44d7
|
|
| MD5 |
ae63353cdd0734c2c6ff937828875055
|
|
| BLAKE2b-256 |
e73432d047f2635fb73e2f70b822108dec432ff8ada56e7236b0d1e04d95b6f7
|
