IGMC | Inductive graph-based matrix completion | Recommender System library

by muhanzhang Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | IGMC Summary

IGMC is a Python library typically used in Artificial Intelligence, Recommender System, Pytorch applications. IGMC has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However IGMC build file is not available. You can download it from GitHub.

IGMC — Inductive Graph-based Matrix Completion.

Support

Quality

Security

License

Reuse

Support

IGMC has a low active ecosystem.

It has 322 star(s) with 81 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 23 have been closed. On average issues are closed in 23 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of IGMC is current.

Quality

IGMC has 0 bugs and 0 code smells.

Security

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

IGMC code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

IGMC is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

IGMC 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.

IGMC saves you 784 person hours of effort in developing the same functionality from scratch.

It has 1806 lines of code, 50 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Process the graph
Construct a subgraph of the subgraph
Construct a pyg graph
R Converts links to subgraphs
Train multiple epochs
Evaluate model loss
Log training and optimizer
Evaluate the model loss
Loads training validation and test validation results
Map a set of unique ids to indices
Download a dataset
Evaluate model once
Compute the loss for each checkpoint
Visualize graph
Convert a PyGGraph object to a NetworkX object
Create trainval test dataset
Load dataset
Load monti features
Load a matrix from a matlab file

Get all kandi verified functions for this library.

IGMC Key Features

No Key Features are available at this moment for IGMC.

IGMC Examples and Code Snippets

No Code Snippets are available at this moment for IGMC.

Community Discussions

Trending Discussions on IGMC

oracle - sql analytical function usage

oracle not in and exists functionality

QUESTION

oracle - sql analytical function usage

Asked 2021-Nov-17 at 23:59

I have a query with output as below:

...

ANSWER

Answered 2021-Nov-17 at 23:59

If you want don't display all records when case_id = 101 then

Source https://stackoverflow.com/questions/70012634

QUESTION

oracle not in and exists functionality

Asked 2021-Nov-17 at 22:31

I have a query with output as below:

...

ANSWER

Answered 2021-Aug-19 at 18:36

You can try the below query -

Source https://stackoverflow.com/questions/68852801

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

Vulnerabilities

No vulnerabilities reported

Install IGMC

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

Find more information at: