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Hey everyone, I've been trying to calculate the similarity score between two different nodes in a Knowledge Graph that I've created. Basically I want the most relevant categories (in the KG) for a set of keywords (also in the KG). I was thinking of just doing a cosine similarity on top of the individual node embeddings for each of the keywords and returning all the related categories above an arbitrary threshold (for e.g for keyword X return all of the categories above a cosine similarity of 0.35).
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