Gsketch: on query estimation in graph streams
WebgSketch: On Query Estimation in Graph Streams - CORE Reader WebAug 1, 2024 · Existing solutions mainly use sketch-based methods to estimate the weight of items (e.g., Count-Min Sketch) and preserve the underlying graph structure …
Gsketch: on query estimation in graph streams
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WebCategory Query Learning for Human-Object Interaction Classification ... Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection Vibashan Vishnukumar Sharmini · Poojan Oza · Vishal Patel ... Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style ... WebApr 6, 2024 · Request PDF LSketch: A Label-Enabled Graph Stream Sketch Toward Time-Sensitive Queries Graph streams represent data interactions in real applications. The mining of graph streams plays an ...
Webmassive and rapid data streams, such as sketch [9], [7], [23] and space-saving [15]. These synopsis structures are suitable for frequency estimation, heavy-hitter, and top-k queries. However, a direct adaptation of the aforementioned stream compressing techniques over graph-edge or graph-node streams lose the underlying structural information ... WebNov 30, 2011 · In this paper, we propose a new graph sketch method, gSketch, which combines well studied synopses for traditional data streams with a sketch partitioning …
WebThis paper proposes a new graph sketch method, gSketch, which combines well studied synopses for traditional data streams with a sketch partitioning technique, to estimate and optimize the responses to basic queries on graph streams. 87 PDF WebApr 1, 2024 · This paper proposes a new graph sketch method, gSketch, which combines well studied synopses for traditional data streams with a sketch partitioning technique, to estimate and optimize the responses to basic queries on graph streams. 83 PDF View 1 excerpt, references background Query-friendly compression of graph streams Arijit …
WebWe consider two different scenarios for query estimation: (1) A graph stream sample is available; (2) Both a graph stream sample and a query workload sample are available. Algorithms for different scenarios are designed respectively by partitioning a global sketch to a group of localized sketches in order to optimize the query estimation accuracy.
WebgSketch: On Query Estimation in Graph Streams Item Preview remove-circle Share or Embed This Item. Share to Twitter. Share to Facebook. Share to Reddit. Share to … shop sweatshirtsWebIn this paper, we propose a new graph sketch method, gSketch, which combines well studied synopses for traditional data streams with a sketch partitioning technique, to estimate and optimize the responses to basic queries on graph streams. ... We consider two different scenarios for query estimation: (1) A graph stream sample is available; (2 ... shopsweatshaper.com/exchangeWebMay 9, 2024 · Graph stream is widely applied in many application scenarios to describe the relationships in social networks, communication networks, academic collaboration … shop sweatshirts for womenWebNov 30, 2011 · gSketch: On Query Estimation in Graph Streams Authors: Peixiang Zhao Charu C. Aggarwal IBM Min Wang Fudan University Abstract and Figures Many dynamic … shop sweatshirts onlineWebstruct a global sketch for the entire graph stream. The main limitation of this global sketch method is that the structural properties of graph streams are totally ignored during … shops websitesWebcused on the query estimation issue on large graph streams. On the other hand, sketch synopses, including but not limited to AMS [5], Lossy Counting [23], CountMin [14] and … shopswedenonlineWebWe consider two different scenarios for query estimation: (1) A graph stream sample is available; (2) Both a graph stream sample and a query workload sample are available. Algorithms for different scenarios are designed respectively by partitioning a global sketch to a group of localized sketches in order to optimize the query estimation accuracy. shop sweatshirts woman