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IEEE

Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces

Abstract: Transfer learning has been widely used in different scenarios, especially in those lacking enough labeled data. However, most of the existing transfer learning methods are based on the ...
GitHub

Reusable NYC geography resources, normalization helpers, and boundary loaders for Python tools.

nyc-geo-toolkit packages canonical NYC boundary layers and the small helper API needed to discover, normalize, load, subset, and convert them. The initial release focuses on: packaged boundary layers ...
IEEE

Disease-IncRNA associations prediction based on fast random walk with restart in heterogeneous networks

Abstract: Long non-coding RNAs (lncRNAs) represent a fundamental category of epigenetic modulators. Recent research has revealed that lncRNAs play critical roles in gene regulatory mechanisms, ...