PGPR | Reinforcement Knowledge Graph Reasoning | Graph Database library

by orcax Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | PGPR Summary

PGPR is a Python library typically used in Database, Graph Database applications. PGPR has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

Support

Quality

Security

License

Reuse

Support

PGPR has a low active ecosystem.

It has 216 star(s) with 67 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 1 have been closed. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PGPR is current.

Quality

PGPR has 0 bugs and 0 code smells.

Security

PGPR has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

PGPR code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PGPR does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

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

Reuse

PGPR releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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

PGPR saves you 588 person hours of effort in developing the same functionality from scratch.

It has 1372 lines of code, 85 functions and 9 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Train the model
Return a list of possible actions for a given path
Execute batch action
Generate a batch of actions for each action
Load dataset
Load embeddings
Loads the product relations
Load a gzipped file
Load reviews
Load reviews from a dataset
Compute tfidf for each document
Loads entities
Load knowledge from the given dataset
Generate labels for each user product
Save labels to file
Checks if the test path exists in test set
Heuristic search
Get the tail of the given entity
Load user products
Compute node degrees
Create a logger
Load entities
Set random seed
Load a dataset
Save dataset to pickle file

Get all kandi verified functions for this library.

PGPR Key Features

No Key Features are available at this moment for PGPR.

PGPR Examples and Code Snippets

No Code Snippets are available at this moment for PGPR.

Community Discussions

Trending Discussions on PGPR

Problem traversing XML tree with Python xml.etree.ElementTree

QUESTION

Problem traversing XML tree with Python xml.etree.ElementTree

Asked 2019-Jan-31 at 18:20

I have a XML file structured as shown below (simplified for the purposes of this question). For each record, I want to extract the article title and the value of the attribute "IdType" containing the DOI number in the "ArticleId" element (sometimes this attribute can be missing), and then store the article title in a dictionary with DOI as the key.

...

ANSWER

Answered 2019-Jan-31 at 18:20

This is fundamentally wrong:

Source https://stackoverflow.com/questions/54466511

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install PGPR

You can download it from GitHub.
You can use PGPR 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.

Support

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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