English(EN) Scaling Graph Query Processing: Focused Exploration on Partitions Using Load Balancing

新研究提出通过分区实现可扩展的图查询处理

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 00:29

一篇新的arXiv论文提出了一种通过分区大型图并利用分布式处理来扩展图查询处理的方法。该方法通过利用聚焦探索和负载均衡启发式方法来减少所需的分区数量，专注于高效的查询应答，包括通配符和比较操作。论文详细介绍了分区算法、分布式架构，并提供了在合成和真实世界数据集上的实验结果。 AI

影响这项研究可以提高图数据库的效率和可扩展性，可能影响依赖于大规模图数据分析的AI应用。

排序理由该集群包含一篇在arXiv上发表的研究论文，详细介绍了一种新的技术方法。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Sharma Chakravarthy · 2026-10-23 00:29

扩展图查询处理：使用负载均衡聚焦分区探索

The focus of this paper is on query processing and not search (approximate or exact). The goal is to find all or k answers and the expressiveness of a query (as opposed to a search expression which is typically simpler) is considered important. Although SQL query processing has m…