scholarly journals SubRank: Subgraph Embeddings via a Subgraph Proximity Measure

Author(s):  
Oana Balalau ◽  
Sagar Goyal
Keyword(s):  
2019 ◽  
Vol 20 (4) ◽  
pp. e295-e328
Author(s):  
Alexandra Fedorets

Abstract This study provides novel evidence on the relevance of task content changes between and within occupations to wage dynamics of occupational changers and stayers. I use individual-level, cross-sectional data featuring tasks performed on the job to compute a measure of proximity of job contents. Then, I merge this measure to a large-scale panel survey to show that occupational changers experience a wage growth that is declining when the accompanying alterations in task contents are big. For occupational stayers, alterations in task contents generate a positive wage component, beyond tenure effect. However, the results are not robust with respect to the choice of proximity measure and over time.


2014 ◽  
Vol 07 (02) ◽  
pp. 1450028 ◽  
Author(s):  
Behrouz Kheirfam

A corrector–predictor algorithm is proposed for solving semidefinite optimization problems. In each two steps, the algorithm uses the Nesterov–Todd directions. The algorithm produces a sequence of iterates in a neighborhood of the central path based on a new proximity measure. The predictor step uses line search schemes requiring the reduction of the duality gap, while the corrector step is used to restore the iterates to the neighborhood of the central path. Finally, the algorithm has [Formula: see text] iteration complexity.


1982 ◽  
Vol 91 (2) ◽  
pp. 424-430 ◽  
Author(s):  
Lawrence J. Hubert ◽  
Reginald G. Golledge ◽  
C. M. Costanzo

1999 ◽  
Vol 56 (S1) ◽  
pp. 188-198 ◽  
Author(s):  
Gordon Swartzman ◽  
Richard Brodeur ◽  
Jeffrey Napp ◽  
Danny Walsh ◽  
Roger Hewitt ◽  
...  

We developed a point-and-click acoustic data viewer (FishViewer) for exploratory comparison of up to three acoustic survey transects (or three frequencies) at a time and other environmental and biological data (e.g., surface temperature and seabird abundance). FishViewer also contains image-processing tools (e.g., morphological and threshold filters) for distinguishing between fish shoals and plankton patches and for patch identification. These tools and methods are illustrated using survey data collected at three frequencies (38, 120, and 200 kHz) near the Pribilof Islands, Bering Sea, during September 1995. Data were also visualized by converting the patches identified in the acoustic images to polygons, showing the boundaries of each patch using a connected component algorithm. Proximity between these fish shoal and plankton patch polygons was examined statistically using an interval-based nonparametric regression model (generalized additive models) and a distance-based proximity measure. The methods presented for data refinement, visualization, and the establishment of fish-plankton patch proximity serve as a paradigm for scale-robust hypothesis formulation and testing of spatial patterns of fish and plankton.


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