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Author

Edward Lam

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Conference 2026

Constraint-Aware Self-Supervised Learning for Edge Selection

A reusable self-supervised framework for edge-selection optimization that learns directly from unlabeled instances is proposed, and a lightweight graph architecture centered on a cost-attention convolution is introduced, where edge costs and feasibility information directly shape message passing.

Xinda Zheng, Frits de Nijs, Edward Lam · 0 citations
Jul 2026

A Numerically-safe Branch-Price-and-Cut Algorithm for the Length-Constrained Cycle Partition Problem

This work formulate LCCP as a set partitioning model and solves it using an exact branch-price-and-cut approach, able to solve previously solved instances in a fraction of the time and closes 14 previously unsolved instances with numerically safe bounds.

Mohammed Ghannam, Ambros M. Gleixner, Gioni Mexi et al. · 0 citations

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