Community Search

3 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

Keyword Aware Influential Community Search in Large Attributed Graphs

saiful1105020/VLDB-2020-Additional-Contents 4 Dec 2019

We introduce a novel keyword-aware influential community query KICQ that finds the most influential communities from an attributed graph, where an influential community is defined as a closely connected group of vertices having some dominance over other groups of vertices with the expertise (a set of keywords) matching with the query terms (words or phrases).

A Survey on Machine Learning Solutions for Graph Pattern Extraction

hanjindong/hmtrl-pytorch 3 Apr 2022

Many algorithms are proposed in studying subgraph problems, where one common approach is by extracting the patterns and structures of a given graph.

CS-TGN: Community Search via Temporal Graph Neural Networks

joint-em/cs-tgn 15 Mar 2023

The evolution of these networks over time has motivated several recent studies to identify local communities in temporal networks.