bioneuralnet.clustering.hybrid_louvain

Functions

get_logger(name)

Retrieves a global logger configured to write to 'bioneuralnet.log' at the project root.

Classes

`CorrelatedLouvain`(G, B[, Y, k3, k4, weight, ...])	CorrelatedLouvain Class for Community Detection with Correlated Omics Data.
`CorrelatedPageRank`(graph, omics_data, ...[, ...])	PageRank Class for Clustering Nodes Based on Personalized PageRank.
`HybridLouvain`(G, B, Y[, k3, k4, max_iter, ...])	HybridLouvain Class that combines Correlated Louvain and Correlated PageRank for community detection.

class bioneuralnet.clustering.hybrid_louvain.HybridLouvain(G: Graph, B: DataFrame, Y: DataFrame, k3: float = 0.2, k4: float = 0.8, max_iter: int = 10, weight: str = 'weight', gpu: bool = False, seed: int | None = None, tune: bool | None = False)[source]