English(EN) CoWalk: Cooperative Walks for Agentic Batch Queries on Disk-Resident Graphs

CoWalk 方法加速磁盘驻留图上的批量向量查询

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-28 07:49

研究人员开发了 CoWalk，一种用于处理磁盘驻留图上批量向量查询的新方法。CoWalk 通过让多个查询在单个线程上协作，每批读取一次所需的页面来优化此过程。这种协作方法显著减少了 I/O 操作并加快了查询处理速度，在达到高召回率水平时，与按查询基线相比，批量执行速度提高了 1.6 到 1.9 倍。 AI

影响这项研究可以提高依赖于批量向量查询处理的 AI 系统的效率，用于研究和策略优化等任务。

排序理由该集群包含一篇详细介绍图查询新处理方法的论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.IR (Information Retrieval) 阅读 →

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报道来源 [1]

arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Nong Xiao · 2026-10-28 07:49

CoWalk：用于磁盘驻留图上代理批量查询的协作行走

Workloads such as query rewriting, deep research and group-relative policy optimization (GRPO) issue batches of semantically related vector queries. Existing disk-resident approximate nearest neighbor (ANN) systems process these queries independently. On three workloads, 31 to 67…

本文如何被排名

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CoWalk：用于磁盘驻留图上代理批量查询的协作行走

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