May 3, 2022 · The subgraph-based approach provides a systematic scenario for analyzing, compare and classifying molecular networks with diverse ...
Sep 24, 2024 · Community detection is an effective way to determine the structure and characteristics of a complex network. With the expansion of the ...
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Jun 5, 2021 · Our approach is based on a two step strategy: first a single alignment graph is built from the dual networks Guzzi and Milenković (2017); Milano ...
Jun 5, 2021 · Our approach is based on a two step strategy: first a single alignment graph is built from the dual networks Guzzi and Milenković (2017); Milano ...
[17] proposed an agent-based approach ... A signed network graph and subgraphs of different ... K-clique community detection in social networks based on formal ...
Jun 19, 2020 · Deep learning methods for graphs achieve remarkable performance on many node- level and graph-level prediction tasks.
Jun 18, 2024 · This approach excels at detecting overlapping communities, offering a detailed and accurate representation of network structures. Comprehensive ...
For instance, the detection of the Top-k Densest Connected subgraphs ... graph model for overlapping network community detection. ... based models, the ...
Abstract. Retrieving cohesive subgraphs in networks is a fundamental problem in social network analysis and graph data management. These subgraphs can be used ...
Sep 8, 2022 · We propose a new type of supervised visual machine learning classifier, GSNAc, based on graph theory and social network analysis techniques.