Knowledge graphs storage and classification on parameters


*Store knowledge graph in Orientdb. Generate subgraph queries and graph traversals.

*Graph classification based on graph hyper parameters like degree, depth and top 5 nodes with high centrality.(using pytorch or any other methods)

Current state: knowledge graph created and graph parameters generated.

Preferred time:1-2days

Check points and payments based on tasks

Habilidades: Python, Machine Learning (ML), Neural Networks, GraphQL

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( 1 comentário ) Bengaluru, India

ID do Projeto: #31555402

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