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arXiv Machine Learning By Tobias Schumacher, Simon Reichelt, Markus Strohmaier

The Impact of Dimensionality on the Stability of Node Embeddings

Read the original on arXiv Machine Learning →

arXiv:2604. 08492v2 Announce Type: replace Abstract: Previous work has shown that node embedding methods can produce different representations and downstream predictions across repeated training runs, even when trained on the same data with identical hyperparameters.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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