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Release source code of GE-FSG (graph embedding with frequent subgraphs)
Posted by:
Dang Nguyen
Date: January 16, 2019 02:24PM
Hi All,
I have released the source code of GE-FSG which learns embeddings (aka feature vectors) for graphs. This work was published at SDM 2018 conference.
https://github.com/nphdang/GE-FSG
Our method combines neural document embedding model with frequent subgraph mining to learn graph embeddings which are useful in many machine learning tasks such as classification and clustering.
Our component "fsg_miner.exe" can be used as a standalone tool to mine frequent subgraphs. It runs fast since it is implemented in parallel.
We plan to release the source code of transaction embedding and sequence embedding learning in the near future.
If you have any trouble when running the code, please feel free to let me know.
Cheers,
Dang Nguyen
I have released the source code of GE-FSG which learns embeddings (aka feature vectors) for graphs. This work was published at SDM 2018 conference.
https://github.com/nphdang/GE-FSG
Our method combines neural document embedding model with frequent subgraph mining to learn graph embeddings which are useful in many machine learning tasks such as classification and clustering.
Our component "fsg_miner.exe" can be used as a standalone tool to mine frequent subgraphs. It runs fast since it is implemented in parallel.
We plan to release the source code of transaction embedding and sequence embedding learning in the near future.
If you have any trouble when running the code, please feel free to let me know.
Cheers,
Dang Nguyen
Re: Release source code of GE-FSG (graph embedding with frequent subgraphs)
Posted by:
webmasterphilfv
Date: January 17, 2019 07:27PM
That is great ;-)
Best,
Philippe
Best,
Philippe
Re: Release source code of GE-FSG (graph embedding with frequent subgraphs)
Posted by:
Safwan
Date: February 06, 2019 05:21PM
I will try it. Thanks for the share.