GEval - A Modular and Extensible Evaluation Framework for Graph Embedding Techniques

Maria Angela Pellegrino
Maria Angela Pellegrino
Abdulrahman Altabba
Abdulrahman Altabba
Martina Garofalo
Martina Garofalo

ESWC, pp. 565-582, 2020.

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Abstract:

While RDF data are graph shaped by nature, most traditional Machine Learning (ML) algorithms expect data in a vector form. To transform graph elements to vectors, several graph embedding approaches have been proposed. Comparing these approaches is interesting for 1) developers of new embedding techniques to verify in which cases their pro...More

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