Understanding How Dynamic node2vec Works on Streaming Data

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Machine Learning graph-algorithms Gensim graph-database topic-modeling

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  • mage

    MAGE - Memgraph Advanced Graph Extensions :crystal_ball: (by memgraph)

    • After walks sampling, we use these prepared temporal walks to make nodes more similar to those nodes in their temporal neighborhood. What does this mean? So, let's say that our maximum walk length walk_length is set to 4, and the number of walks walk_num is set to 3. These hyperparameters can be found in our implementation of Dynamic Node2Vec on Github. Let's imagine we sampled the following temporal walks for node 9 in the graph on Image 3: [1,2,6,9], [1,2,5,9], [5,7,9]

  • gensim

    Topic Modelling for Humans

    • This is our optimization problem. Now, we hope that you have an idea of what our goal is. Luckily for us, this is already implemented in a Python module called gensim. Yes, these guys are brilliant in natural language processing and we will make use of it. 🤝

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