DGCF | ICDM 2020 ] Python implementation | Recommender System library

 by   CRIPAC-DIG Python Version: Current License: No License

kandi X-RAY | DGCF Summary

kandi X-RAY | DGCF Summary

DGCF is a Python library typically used in Artificial Intelligence, Recommender System, Deep Learning, Pytorch applications. DGCF has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

The source code and dataset for ICDM2020 paper: Dynamic Graph Collaborative Filtering, implemented in Pytorch. Our code mainly mainly refers to jodie: data download method, running environment and initialization are the same as jodie.
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              DGCF has a low active ecosystem.
              It has 17 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DGCF is current.

            kandi-Quality Quality

              DGCF has 0 bugs and 0 code smells.

            kandi-Security Security

              DGCF has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              DGCF code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              DGCF does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              DGCF 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.
              It has 1268 lines of code, 19 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 DGCF and discovered the below as its top functions. This is intended to give you an instant insight into DGCF implemented functionality, and help decide if they suit your requirements.
            • Load network .
            • Load the model .
            • Initialize the DGCF .
            • Save a model to disk .
            • reinitializes all Tatch objects
            • Assign user embeddings .
            • Calculates the loss of a state prediction .
            • Sample from adj_seq .
            • Pad adjacency matrix .
            • Returns the free memory of a free GPU .
            Get all kandi verified functions for this library.

            DGCF Key Features

            No Key Features are available at this moment for DGCF.

            DGCF Examples and Code Snippets

            No Code Snippets are available at this moment for DGCF.

            Community Discussions

            QUESTION

            Generate Powerset of length 4 using Java-8 is possible
            Asked 2020-Jan-21 at 10:20

            I have been able to generate the all permutation of length 4 from a string, the problem that I am facing now is that all the permutation have duplicates like {abcd) ,{adbc},{bcda}...which are all same as from Mathematical definition of set.

            Is there a short version in java-8 where I can get the pure set?

            My code that generated the all permutation:

            ...

            ANSWER

            Answered 2020-Jan-21 at 09:44

            If you want to find the unique words (without considering order of characters, as you mentioned), you can do one additional step after permutation is done.

            Source https://stackoverflow.com/questions/59837964

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

            Vulnerabilities

            No vulnerabilities reported

            Install DGCF

            You can download it from GitHub.
            You can use DGCF 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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            https://github.com/CRIPAC-DIG/DGCF.git

          • CLI

            gh repo clone CRIPAC-DIG/DGCF

          • sshUrl

            git@github.com:CRIPAC-DIG/DGCF.git

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