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Re: Introducing AmpliGraph: a TensorFlow-based Library for Knowledge Graph Embeddings

From: Ghislain Atemezing <auguste.atemezing@eurecom.fr>
Date: Tue, 7 May 2019 12:29:14 +0200
Message-Id: <7544B4C1-3E19-4339-B34A-0587E3397AF1@eurecom.fr>
Cc: "public-lod@w3.org" <public-lod@w3.org>, "semantic-web@w3.org Web" <semantic-web@w3.org>
To: "Costabello, Luca" <luca.costabello@accenture.com>
Hi Luca,
Many thanks for this great tool! 
I was playing around and wanted to know if you were able (in our different experiments) to get the same result:
(1) - either by running different times in the same ENV
(2)  - either by running the same code in a different ENV 

In my use case, in both cases (1), (2), I have different results. I’ve even added a random.see() but still having the same issue. 

Could you point me to how I can guarantee the same result with different settings and/or different runs of the same code?

> Le 3 avr. 2019 à 15:41, Costabello, Luca <luca.costabello@accenture.com> a écrit :
> Hello everybody,
> We are happy to share AmpliGraph, a suite of neural machine learning models for relational representation learning.
> You can use it to discover new knowledge from an existing knowledge graph, find missing statements, or play around with embeddings generated from graphs.
> We designed APIs and documentation to make knowledge graph embeddings accessible to inexperienced users, while also giving researchers a shared library to assess the performance of new models for fair and reproducible experiments.
> AmpliGraph natively supports RDF graphs, and we hope it can be a useful tool for the Web of Data community.
> Anybody interested in machine learning on graphs (whether this means using AmpliGraph in your project, or extending the codebase), just feel free to ping us - many ways to contribute!
> AmpliGraph is licensed under the Apache 2.0 licence.
> pip install ampligraph
> GitHub: http://ampligraph.org <http://ampligraph.org/>  
> Documentation and examples: https://docs.ampligraph.org <https://docs.ampligraph.org/>
> Luca
> Accenture Labs Dublin
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> ______________________________________________________________________________________
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Ghislain A. Atemezing, Ph.D
Mail: ghislain.atemezing@gmail.com
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Received on Tuesday, 7 May 2019 10:29:41 UTC

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