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In this project, we present two approaches for learning knowledge graph embeddings namely temporal random walk and temporal proximity. Knowledge graph is used to represent entities. We used IA ENRON employee data set for link prediction.

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In this project, we present two approaches for learning knowledge graph embeddings namely temporal random walk and temporal proximity. Knowledge graph is used to represent entities. We used IA ENRON employee data set for link prediction.

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