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Awesome GitHub RepositoriesSubgraph Mining Algorithms
Algorithms for extracting recurring structural patterns and frequent subgraphs from complex networks.
Distinct from Graph Encodings: Existing candidates focus on type-safe encodings or architectural decomposition, not the algorithmic mining of frequent subgraphs.
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Awesome Subgraph Mining Algorithms GitHub Repositories
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- linyiqun/dataminingalgorithm
linyiqun/DataMiningAlgorithm
3,950عرض على GitHubThis project is a data mining algorithm library and machine learning reference implementation. It provides a collection of tools for performing classification, clustering, and association rule mining, as well as a toolkit for nature-inspired optimization. The library includes specialized utilities for graph and sequence mining, enabling the extraction of frequent subgraphs and sequential patterns. It also features a dimensionality reduction utility that uses rough set theory to remove redundant attributes from datasets. The project covers a broad range of analytical capabilities, including n
Provides utilities for extracting frequent subgraphs and recurring structural patterns from complex network topologies.
Java
