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AutoGraphForge: Towards Automated Graph Theory Discovery

2026-09-04 12:00 Science 🔥 11.4 heat score
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SummaryAI generated

AutoGraphForge is an artificial intelligence-based automated graph theory discovery method designed to explore the theoretical properties of graph structures through algorithms. This method uses machine learning models to analyze the topological characteristics of graphs, proposes new graph theory propositions, and verifies their validity. The research focuses on the relationship between structure and properties in graph theory, emphasizing scalability and automation of theoretical discovery.

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Key entitiesKEY ENTITIES
AutoGraphForgeDeepSeek-Prover-V2-671BGraffiti3Lean 4OProver-32Bmathlib4

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AutoGraphForge × DeepSe…1AutoGraphForge × Graffi…1AutoGraphForge × Lean 41AutoGraphForge × OProve…1AutoGraphForge × mathli…1DeepSeek-Prover-V2-671B…1

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Keyword heat
  • AutoGraphForge1
  • Graffiti31
  • Lean 41
  • mathlib41
  • DeepSeek-Prover-V2-671B1
  • OProver-32B1

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A arXiv cs.AI en 2026-09-04 12:00

AutoGraphForge: Towards Automated Graph Theory Discovery

# AutoGraphForge: Towards Automated Graph Theory Discovery We report on our ongoing project to develop a computational pipeline, AutoGraphForge, for an automated graph-theoretic conjecturing-refuting-formalizing-proving system. Conjecture generation is counterexample-guided and runs in rounds: a Graffiti3 generator proposes conjectures over a small, evolvi…