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Souvik Dhara

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Preprint Jul 2026

Distance-Preserving Embeddings in Inhomogeneous Random Graphs

This approach demonstrates that models trained on small-scale random graphs learn to extract universal distance-preserving features, achieving robust generalization to large-scale, real-world networks that match or exceed the fidelity of classical, exact landmark-based embeddings.

My Le, Luana Ruiz, Souvik Dhara · 0 citations