diathermy
发表于 2025-3-25 05:19:34
Community Discovery: Simple and Scalable Approaches,d/or edges while retaining the network’s underlying community structure. Finally, we review research efforts that leverage various parallel and distributed computing paradigms in community discovery, which can facilitate finding communities in tera- and peta-scale networks.
翻动
发表于 2025-3-25 10:43:48
Discovering Communities in Multi-relational Networks,n, utility integration, feature integration, and partition integration. Learning or ranking the weight for each relation in MRN constitutes building blocks of network, utility and feature integrations. Thus, we turn our attention into several co-ranking frameworks on MRNs. We then discuss two differ
Texture
发表于 2025-3-25 14:40:04
Group Types in Social Media,omputational sociology have provided a new lens to study social aggregations along their social and topical dimensions. Using the online photo sharing community Flickr as a main running example, we survey some techniques that have been used to get a multi-faceted description of group types and we sh
Infiltrate
发表于 2025-3-25 16:25:20
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BOLUS
发表于 2025-3-25 23:09:35
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Innocence
发表于 2025-3-26 00:41:57
Georgios Paliouras,Symeon Papadopoulos,Dimitrios Vogiatzise of folia tion, that one says is "simple". For an arbitrary foliation, it is only l- u L ally that the foliation appears as a stack of plaques and admits a local quotient manifold. Globally, a leaf L may - - return and cut a simple open set U in several plaques, sometime
柔软
发表于 2025-3-26 05:41:36
Yiye Ruan,David Fuhry,Jiongqian Liang,Yu Wang,Srinivasan Parthasarathyries. Such passages are inserted between *. In most textbooks about Riemannian geometry, the starting point is the local theory of embedded surfaces. Here we begin directly with the so-called "abstract" manifolds. To illustrate our point of view, a series of examples is developed each time a new def
Enzyme
发表于 2025-3-26 10:32:09
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FLEET
发表于 2025-3-26 14:10:41
nd trajectories can also have important geometric features, we use shape as an all-encompassing term for the descriptors of curves, scalar functions and trajectories. Our framework relies on functional representation and analysis of curves and scalar functions, by square-root velocity fields (SRVF)
FACT
发表于 2025-3-26 19:14:27
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