Abstract: Recently, clustering algorithms based on deep AutoEncoder attract lots of attention due to their excellent clustering performance. On the other hand, the success of PCA-Kmeans and spectral ...

Graph neural network (GNN) autoencoders such as STAGATE and GraphST are the state of the art for spatial domain identification, but their results are surprisingly sensitive to the random seed: ...

Abstract: A fundamental task in data exploration is to extract low dimensional representations that capture intrinsic geometry in data, especially for faithfully visualizing data in two or three ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...

这项由独立研究者与马里兰大学联合开展的研究以预印本形式发表于2026年6月，论文编号为arXiv:2606.11722v1，有兴趣深入了解的读者可通过该编号在arXiv平台查询完整论文。

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