giovannigarifo/pkg
Deep Learning on Academic Knowledge Graphs
This project helps researchers and academic administrators identify potential new connections and insights within their institutional scholarly data. It takes structured academic data, such as XML descriptions of knowledge graphs from publications and authors, and predicts new, previously unstated relationships. The output is a list of candidate links or facts that could be added to the academic knowledge graph, useful for enriching institutional repositories or recommendation systems.
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Use this if you need to discover hidden relationships or predict new facts within a complex academic knowledge graph to enhance research discovery or institutional data intelligence.
Not ideal if your data is not structured as a knowledge graph or if you require real-time, low-latency predictions on rapidly changing data.
Stars
9
Forks
3
Language
Python
License
GPL-3.0
Category
Last pushed
May 26, 2020
Commits (30d)
0
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