Model-to-Data Distillation for Graph Neural Networks

arXiv:2605.06814 · cs.LG · Submitted 2026-05-07 · Read on arXiv

cs.LG

Submitted: 2026-05-07

Updated: 2026-09-30

Terminology

• Distillation — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Explainability — 1× in this paper · explained in 3 episodes
• GNNs — 1× in this paper · explained in 2 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes

Sources

• Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey
• A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
• Distilling the Knowledge in a Neural Network
• Pitfalls of Graph Neural Network Evaluation
• Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching
• A Survey on Graph Structure Learning: Progress and Opportunities
• Data-Free Adversarial Knowledge Distillation for Graph Neural Networks

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