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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 ...
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 ...
Abstract: Random walk centrality is a fundamental metric in graph mining for quantifying node importance and influence, defined as the weighted average of hitting times to a node from all other nodes.