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cs.LG2022
Hub-aware Random Walk Graph Embedding Methods for Classification
Aleksandar Tomčić, Miloš Savić, Miloš Radovanović
In the last two decades we are witnessing a huge increase of valuable big data structured in the form of graphs or networks. To apply traditional machine learning and data analytic…
cs.LG2022
Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings
Miloš Savić, Vladimir Kurbalija, Miloš Radovanović
The notion of local intrinsic dimensionality (LID) is an important advancement in data dimensionality analysis, with applications in data mining, machine learning and similarity se…