palmagro / gg2vec

Semantic Preserving Embeddings for Generalized Graphs
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Reference #1

Open apple2373 opened 8 years ago

apple2373 commented 8 years ago

It is not mentioned, but I am wondering this repository is the implementation of this paper: http://www.kdd.org/kdd2016/subtopic/view/node2vec-scalable-feature-learning-for-networks

Is that right?

palmagro commented 8 years ago

Hi Satoshi,

No, thats not the implementation of this paper. We are researchers in Universidad Central de Ecuador and Universidad de Sevilla working in Machine Learaning over Multi-Relational Graphs. We are working in our own research and by coincidence we used the same name: node2vec.

Our system is quite different of this one presented in the paper you referenced, it uses neo4j as storage system, uses properties (in addition of connections) to perform the embedding and the machine learning algorithm to use to learn from the embedding is a free parameter.

Apologies for the state of the repo, we will refactor it and include a complete documentation soon.

Regards.

Pedro Almagro

2016-05-28 0:58 GMT+02:00 Satoshi Tsutsui notifications@github.com:

It is not mentioned, but I am wondering this repository is the implementation of this paper: http://www.kdd.org/kdd2016/subtopic/view/node2vec-scalable-feature-learning-for-networks

Is that right?

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apple2373 commented 8 years ago

Sure. Thank you for clarification. I am investigating graph embedding methods. Looking forward to the documentation soon! --Satoshi