Preprint
Aug 2026
Learning Spectral Representations of Code through Latent Graph Learning for Generalizable Cross-Language Code Clone Detection
Current code clone detection (CCD) methods rely on fixed, language-specific graph representations like abstract syntax trees (ASTs) or program dependency graphs (PDGs). Because functionally identical code fragments can yield wildly different structures, these rigid graphs produce non-discriminative spectra that perform...
Mohsen Hesamolhokama, Alireza Sadeghi, Kousha Moeini et al.
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