RippleNet | This repository is a Tensorflow 2 implementation

 by   ZJJHYM Python Version: Current License: MIT

kandi X-RAY | RippleNet Summary

kandi X-RAY | RippleNet Summary

RippleNet is a Python library. RippleNet has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This repository is a Tensorflow 2 implementation of RippleNet (arXiv):. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems, Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo, The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018). RippleNet is a deep end-to-end model that naturally incorporates the knowledge graph into recommender systems. Ripple Network overcomes the limitations of existing embedding-based and path-based KG-aware recommendation methods by introducing preference propagation, which automatically propagates users' potential preferences and explores their hierarchical interests in the KG.
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              RippleNet has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              RippleNet has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of RippleNet is current.

            kandi-Quality Quality

              RippleNet has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              RippleNet is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              RippleNet 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, examples and code snippets are available.

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            RippleNet Key Features

            No Key Features are available at this moment for RippleNet.

            RippleNet Examples and Code Snippets

            No Code Snippets are available at this moment for RippleNet.

            Community Discussions

            No Community Discussions are available at this moment for RippleNet.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install RippleNet

            Tested using Python 3.7 and Tensorflow 2.2.0. You should setup the following virtual environment and install the required packages:.

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            gh repo clone ZJJHYM/RippleNet

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            git@github.com:ZJJHYM/RippleNet.git

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