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Lamarr Institut
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Event:
12/7/2022
Graphs in Space: Graph Embeddings for Machine Learning on Complex Data
interactions between existing graph-embedding methods (focusing on node2vec), and hubness and LID, we will describe new methods based on node2vec that take these factors into account, achieving improved accuracy [...] data: (1) hubness (highly connected nodes in nearest-neighbor graphs obtained from tabular data) and (2) local intrinsic dimensionality (LID – number of dimensions needed to express the complexity around [...] least one of two aspects: (1) graph reconstruction and community preservation in the new space, and (2) success of applications of the produced tabular data to the tasks of clustering and classification …