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Grace: a scalable framework for graph embedding with autoencoder-based feature compression and random walks

Published Online: 2026-04-07

Published Print: 2026-12

Authors

Keikha, Mohammad Mehdi

Barahoie, Saman

Nadi, Abolfazl
License Information

Text and Data Mining valid from 2026-04-07

Version of Record valid from 2026-04-07
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Article History

Received: 5 September 2025

Accepted: 1 March 2026

First Online: 7 April 2026

Declarations

:

: The authors declare no conflict of interest.

: This study involves no experiments on humans or animals.

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