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Project Problem statement:

We have a dataset of photos with tags, userids, location and label as features/metadata/dimensions. We will be creating a graph network of the photos based on common attributes, for example similar location and user id would link (create an edge) between two photos. We have the dataset with metadata as features and the nodes (photos) are linked using common features. Once network is created based on our assumptions, we need to come up with data mining algorithms to try to predict an missing edge of a triangle based on the other two edges.

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