GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning
tech_blogs_arxiv | Author: Wenjin Li, Jiaming Cui
tech_blogs_arxiv | Author: Wenjin Li, Jiaming Cui
GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning
Large Language Models (LLMs) have demonstrated strong potential for many mathematical problems. However, their performance on graph algorithmic tasks is still unsatisfying, since graphs are naturally more complex in topology and often require systematic multi-step reasoning, especially on larger ...
arxiv.org
May 12, 2026 at 3:46 AM
GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning
tech_blogs_arxiv | Author: Wenjin Li, Jiaming Cui
tech_blogs_arxiv | Author: Wenjin Li, Jiaming Cui
GraphDC just leveled up graph reasoning with divide‑and‑conquer agents, scaling massive networks like never before. Curious how AI tackles huge graphs? Dive in. #GraphDC #DivideAndConquer #GraphReasoning
🔗 aidailypost.com/news/graphdc...
🔗 aidailypost.com/news/graphdc...
May 11, 2026 at 4:06 PM
GraphDC just leveled up graph reasoning with divide‑and‑conquer agents, scaling massive networks like never before. Curious how AI tackles huge graphs? Dive in. #GraphDC #DivideAndConquer #GraphReasoning
🔗 aidailypost.com/news/graphdc...
🔗 aidailypost.com/news/graphdc...
Wenjin Li, Jiaming Cui: GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning https://arxiv.org/abs/2605.06671 https://arxiv.org/pdf/2605.06671 https://arxiv.org/html/2605.06671
May 11, 2026 at 6:38 AM
Wenjin Li, Jiaming Cui: GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning https://arxiv.org/abs/2605.06671 https://arxiv.org/pdf/2605.06671 https://arxiv.org/html/2605.06671
【美国观察：AI 攻克复杂图推理】
ArXiv 最新研究提出 GraphDC 框架，通过“分而治之”的多智能体系统，显著提升大模型在复杂图算法推理上的能力。
分析：大模型在处理具有复杂拓扑结构的图数据（如社交网络、分子结构）时常力不从心。GraphDC 将大问题分解为小模块并行处理，解决了可扩展性痛点。
看点：这种多智能体协作模式可能会成为 AI 处理结构化数据的新标准，加速 AI 在生物制药和物流优化领域的落地。
#美国观察 #AI应用 #图推理 #多智能体 #ArXiv
ArXiv 最新研究提出 GraphDC 框架，通过“分而治之”的多智能体系统，显著提升大模型在复杂图算法推理上的能力。
分析：大模型在处理具有复杂拓扑结构的图数据（如社交网络、分子结构）时常力不从心。GraphDC 将大问题分解为小模块并行处理，解决了可扩展性痛点。
看点：这种多智能体协作模式可能会成为 AI 处理结构化数据的新标准，加速 AI 在生物制药和物流优化领域的落地。
#美国观察 #AI应用 #图推理 #多智能体 #ArXiv
GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning
A Divide-and-Conquer multi-agent framework for scalable graph algorithm reasoning to improve LLM performance on complex graph tasks.
arxiv.org
May 11, 2026 at 5:05 AM