most citedInvar-RAG: Invariant LLM-aligned Retrieval for Better Generation

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cs.LG2025

Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices

Qingyu Han, Qian Li, Linxin Yang +3

Integer Linear Programs (ILPs) are central to real-world optimizations but notoriously difficult to solve. Learning to Optimize (L2O) has emerged as a promising paradigm, with Grap…

cs.LG2025

When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach

Qian Chen, Lei Li, Qian Li +6

A common characteristic in integer linear programs (ILPs) is symmetry, allowing variables to be permuted without altering the underlying problem structure. Recently, GNNs have emer…