Density of states for fast embedding node-attributed graphs

Given a node-attributed graph, how can we efficiently represent it with few numerical features that expressively reflect its topology and attribute information? We propose A-DOGE , for attributed DOS-based graph embedding, based on density of states (DOS, a.k.a. spectral density) to tackle this prob...

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Veröffentlicht in:Knowledge and information systems 2023-06, Vol.65 (6), p.2455-2483
Hauptverfasser: Zhao, Lingxiao, Sawlani, Saurabh, Akoglu, Leman
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Sprache:eng
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