Graph Embeddings

Model by Modzy

This model can be used to explore possible relationships between entities, such as finding people who share similar interests or finding biological interactions between pairs of proteins. Graphs are particularly useful for describing relational entities, and graph embedding is an approach used to transform a graph’s structure into a format digestible by an AI model, whilst preserving the graph’s properties. Graph structures can widely vary in terms of their scale, specificity, and subject, making graph embedding a difficult task.

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