KG-aware-Recsys | leverage rich item attributes as an item-based knowledge

by jennyzhang0215 Python Version: Current License: No License

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kandi X-RAY | KG-aware-Recsys Summary

KG-aware-Recsys is a Python library. KG-aware-Recsys has no bugs, it has no vulnerabilities and it has low support. However KG-aware-Recsys build file is not available. You can download it from GitHub.

This tutorial is about how to leverage rich item attributes as an item-based knowledge graph (KG) for the recommender system (recsys). We utilize the DGL-KE to train the knowledge graph and then use the pretrained item embeddings as item features in a recsys model (PinSAGE/GraphSAGE). The training process is not end-to-end in order to make use of the high performance of DGL-KE.

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KG-aware-Recsys has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

KG-aware-Recsys has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of KG-aware-Recsys is current.

Quality

KG-aware-Recsys has 0 bugs and 0 code smells.

Security

KG-aware-Recsys has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

KG-aware-Recsys code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

KG-aware-Recsys does not have a standard license declared.

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Without a license, all rights are reserved, and you cannot use the library in your applications.

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KG-aware-Recsys releases are not available. You will need to build from source code and install.

KG-aware-Recsys has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed KG-aware-Recsys and discovered the below as its top functions. This is intended to give you an instant insight into KG-aware-Recsys implemented functionality, and help decide if they suit your requirements.

Splits KG4K geometries in KG .
Return information about a given kg .

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KG-aware-Recsys Key Features

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KG-aware-Recsys Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install KG-aware-Recsys

You can download it from GitHub.
You can use KG-aware-Recsys like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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