WebApr 30, 2024 · One method for condensing and simplifying such datasets is graph summarization. It denotes a series of application-specific algorithms designed to transform graphs into more compact representations while … WebApr 11, 2024 · A graph stream is a continuous sequence of data items, in which each item indicates an edge, including its two endpoints and edge weight. It forms a dynamic graph that changes with every item. Graph streams play important roles in cyber security, social networks, cloud troubleshooting systems and more. Due to the vast volume and high …
[1809.01246] Fast and Accurate Graph Stream …
WebMar 1, 2024 · A graph stream is a continuous sequence of data items, in which each item indicates an edge, including its two endpoints and edge weight. It forms a dynamic … WebOct 24, 2024 · Graph stream summarization. A graph stream is a sequence of elements e = (x, y, f; t) arrived in continuous time, where x, y are node identifiers and edge (x, y) with a weight/frequency of f is encountered at time-stamp t. The frequency of the edge can be regarded as an arriving edge with a weight of 1. solutions architect apprenticeship amazon
Graph Summarization DeepAI
WebMar 11, 2024 · The goal of graph summarization is to represent large graphs in a structured and compact way. A graph summary based on equivalence classes … WebMay 9, 2024 · Horae: A Graph Stream Summarization Structure for Efficient Temporal Range Query pp. 2792-2804 Local Clustering over Labeled Graphs: An Index-Free Approach pp. 2805-2817 Adaptive Partitioning for Large-Scale Graph Analytics in Geo-Distributed Data Centers pp. 2818-2830 WebApr 6, 2024 · The problem of lossless streaming graph summarization is computationally challenging. On one hand, it is shown to be NP-hard to even summarize a static graph optimally , which means that frequently re-summarizing the graph from the scratch is computationally unaffordable. On the other hand, in a streaming environment, edges … small boat sound system