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- So what Im going to be talking about in this session is graph embeddings. Some of you might have joined my earlier talk about machine learning with graphs. This is kind of a much more technical deep dive into one aspect of machine learning with graphs, which is graph embeddings which is basically a way of representing a graph so you can leverage that in a machine learning model, deep learning, calculate similarity. Im Alicia Frame, Im the lead data scientist at Neo4j. I work on the product team and my role is really to help build out our graph algorithms library and our future data science kind of features and roadmap. I also work with our early adopters to help them get up and running in production with graph algorithms and actually doing data science with Neo4j. Im super excited to share kind of a topic thats really close to my heart which is graph embeddings. So in this talk what Im going to be talking about it really starting off with what is an embedding? I think often th