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Author

Milos Savic

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Preprint Aug 2026

Enhancing Distance-Based Graph Autoencoders with Structural Penalties for Dynamic Graph Embedding

Experiments show that incorporating NC-LID-based regularization consistently improves reconstruction performance over the baseline without structural regularization and the method using hub-aware regularization, which highlights NC-LID as a useful structural signal for enhancing distance-based graph autoencoders in dynamic settings.

Aleksandar Tomčić, Milos Savic, Milos Radovanovic · 0 citations

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