WebSep 4, 2024 · Fast and Accurate Graph Stream Summarization. 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 in the stream. Graph streams play important roles in cyber security, social networks, cloud … 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.
[2203.05919] Graph Summarization with Graph Neural …
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 WebHorae is a graph stream summarization structure for efficient temporal range queries. Horae can deal with temporal queries with arbitrary and elastic range while guaranteeing one-sided and controllable errors. More … cycloplegics and mydriatics
Figure 2 from Using Embeddings for Dynamic Diverse …
WebSep 4, 2024 · Fast and Accurate Graph Stream Summarization. A graph stream is a continuous sequence of data items, in which each item indicates an edge, including its … WebJul 2, 2024 · (Graph stream summarization) Given an attributed graph stream, where its edges arrive by the passage of time. We aim to make available a summary of the graph … WebSep 4, 2024 · A graph stream is an unbounded sequence of items, in which each item is a vector with at least three fields (denoted by. ( s,d ,w) ), where s,d represents an edge between nodes s and d, and w is the edge weight. These data items together form a dynamic graph that changes continuously and we call it streaming graph for convenience. cyclopithecus