harmanpreet93/poincare-embedding-using-gensim
Train poincare embedding using gensim
This project helps data scientists and machine learning engineers represent complex, hierarchical data as 'embeddings' or vector representations. It takes a list of relationships (edges) between items (nodes) and outputs numerical vectors for each item. These vectors capture both how similar items are and their position within a hierarchy, making it easier to analyze and model tree-like structures.
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Use this if you need to represent hierarchical or graph-structured data in a way that captures both similarity and hierarchy efficiently, especially when traditional Euclidean embeddings struggle with many dimensions.
Not ideal if your data does not have a hierarchical or graph structure, or if you prefer simpler, non-embedding based methods for relationship analysis.
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May 18, 2018
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