Uncovering Locally Low-dimensional Structure in Networks by Locally Optimal Spectral Embedding | ScienceToStartup | ScienceToStartup

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References (63)

[1]

A Short Survey on Importance Weighting for Machine Learning

2024Masanari Kimura, H. Hino

[2]

T-Stochastic Graphs

2023Sijia Fang, K. Rohe

[3]

Knowledge Graphs: Opportunities and Challenges

2023

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"Introducing Local Adjacency Spectral Embedding (LASE) for improved local structure representation in networks."

Graph Embedding•Score: 2•View PDF ↗

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Uncovering Locally Low-dimensional Structure in Networks by Locally Optimal Spectral Embedding

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References (63)

Founder's Pitch

"Introducing Local Adjacency Spectral Embedding (LASE) for improved local structure representation in networks."

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Uncovering Locally Low-dimensional Structure in Networks by Locally Optimal Spectral Embedding

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References (63)

Founder's Pitch

"Introducing Local Adjacency Spectral Embedding (LASE) for improved local structure representation in networks."

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