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hello and welcome to my channel to this new video on graph embeddings now graph databases enjoy white enthusiasm and adoption of analytics of integrated data potentially from various sources however in most machine learning algorithms they work on vector form data and therefore to unlock this powerful toolbox we need a way to map our graph structure to a vector form and thatamp;#39;s what iamp;#39;m very excited about because i studied the notoric algorithm and iamp;#39;m excited about how straightforwardly and concise the approach is formulated and how well it works if you apply it to the right data in this video we will walk through all the important details we are going to start with the basic motivation why should we care about mapping graph structures to vectors secondly where weamp;#39;re talking about the problem so how do we define this problem whatamp;#39;s the context of a node and um whatamp;#39;s the overall objective and finally we will walk through the math and here
