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On the Effectiveness of Pretraining for Graph Combinatorial Optimization

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2 SIGNALSFIRST DETECTED 22 July 2026
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14 Jul
GES-TSP: Graph Edge Sparsification for TSP

arXiv:2607.09708v1 Announce Type: new Abstract: Solving large-scale instances of the Traveling Salesman Problem (TSP) exactly is computationally expensive. Researchers often

REPORT · HOW · ArXiv CS.AIOPEN STORY
8 Apr
EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks

arXiv:2604.05254v1 Announce Type: new Abstract: Modern logistics networks generate rich operational data streams at every warehouse node and transportation lane -- from order

REPORT · WHAT · ArXiv CS.AIOPEN STORY
31 Mar
Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization

arXiv:2603.27169v1 Announce Type: new Abstract: Recent research has demonstrated the effectiveness of large language models (LLMs) in solving combinatorial optimization problems

REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 Mar
AI4S-SDS: A Neuro-Symbolic Solvent Design System via Sparse MCTS and Differentiable Physics Alignment

arXiv:2603.03686v2 Announce Type: replace Abstract: Automated design of chemical formulations is a cornerstone of materials science, yet it requires navigating a high-dimensional

REPORT · HOW · ArXiv CS.AIOPEN STORY
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