A single unsupervised pre-trained vector-quantized graph autoencoder yields MIP instance embeddings that, after minimal fine-tuning, improve solver performance across problem domains and sizes.
Routefinder: Towards foundation models for vehicle routing problems
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FORGE: Foundational Optimization Representations from Graph Embeddings
A single unsupervised pre-trained vector-quantized graph autoencoder yields MIP instance embeddings that, after minimal fine-tuning, improve solver performance across problem domains and sizes.