Provides sufficient conditions for successful distillation of combinatorial optimization tasks into DP-aligned graph neural networks under the linear representation hypothesis for the source model.
Proceedings of the 35th International Conference on Neural Information Processing Systems , articleno =
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Towards Distillation Guarantees under Algorithmic Alignment for Combinatorial Optimization
Provides sufficient conditions for successful distillation of combinatorial optimization tasks into DP-aligned graph neural networks under the linear representation hypothesis for the source model.