Matchability of heterogeneous networks pairs.

IF 1.4 4区 数学 Q2 MATHEMATICS, APPLIED Information and Inference-A Journal of the Ima Pub Date : 2020-12-01 Epub Date: 2020-01-06 DOI:10.1093/imaiai/iaz031
Vince Lyzinski, Daniel L Sussman
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引用次数: 0

Abstract

We consider the problem of graph matchability in non-identically distributed networks. In a general class of edge-independent networks, we demonstrate that graph matchability can be lost with high probability when matching the networks directly. We further demonstrate that under mild model assumptions, matchability is almost perfectly recovered by centering the networks using universal singular value thresholding before matching. These theoretical results are then demonstrated in both real and synthetic simulation settings. We also recover analogous core-matchability results in a very general core-junk network model, wherein some vertices do not correspond between the graph pair.

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异构网络对的匹配性。
我们考虑的是非同分布式网络中的图匹配性问题。在一般的边缘无关网络中,我们证明了直接匹配网络时,图的可匹配性会以很高的概率丢失。我们进一步证明,在温和的模型假设下,通过在匹配前使用通用奇异值阈值将网络居中,几乎可以完美地恢复匹配性。这些理论结果随后在实际和合成模拟环境中得到了验证。我们还在一个非常通用的核心-垃圾网络模型中恢复了类似的核心匹配性结果,在这个模型中,一些顶点在图对之间并不对应。
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来源期刊
CiteScore
3.90
自引率
0.00%
发文量
28
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