English(EN) Sharp Statistical Thresholds for Attributed Gaussian Graph Matching

新研究定义了具有属性的高斯图匹配的阈值

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

一篇新发表在arXiv上的论文详细介绍了具有属性的高斯图匹配的进展，这是一个涉及具有相关边权重和节点特征的网络对齐的问题。研究人员为底层对齐的精确恢复、几乎精确恢复和部分恢复推导出了精确的信息论阈值。研究强调，与标准图匹配不同，节点级上下文信息的包含导致了更丰富的结构，将精确恢复阈值与几乎精确恢复和部分恢复的阈值区分开来。 AI

排序理由该集群包含一篇发表在arXiv上的研究论文，详细介绍了图匹配方面的理论进展。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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arXiv cs.LG TIER_1 English(EN) · Mohammad Hassan Ahmad Yarandi, Luca Ganassali · 2026-10-15 04:00

归因高斯图匹配的尖锐统计阈值

arXiv:2603.23305v2 Announce Type: replace-cross Abstract: We investigate the problem of matching networks where both edge weights and node features are correlated following a specific node correspondence. While prior work has established sharp thresholds for matching either graph…

本文如何被排名

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归因高斯图匹配的尖锐统计阈值

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