qbiocode.apps.quvine.evaluation package

Submodules:

• qbiocode.apps.quvine.evaluation.classification module
• qbiocode.apps.quvine.evaluation.link_prediction module
• qbiocode.apps.quvine.evaluation.ranking module

Summary

__all__ Functions:

compute_edge_features	Compute edge features from node embeddings.
compute_structural_link_features	Compute structural features for edges (for baseline comparison).
evaluate_all_edge_feature_methods	Evaluate link prediction using all edge feature methods.
evaluate_all_label_strategies	Evaluate embeddings using all label generation strategies plus an ensemble.
evaluate_embeddings_ranking	Score every method’s node ranking against the target set.
evaluate_link_prediction	Evaluate link prediction performance with no train-test leakage.
evaluate_link_prediction_cv	Evaluate link prediction with train-test split.
evaluate_node_classification	Evaluate node embeddings on classification task.
generate_centrality_labels	Generate node labels based on centrality measures.
generate_community_labels	Generate node labels based on community detection.
generate_core_periphery_labels	Generate node labels based on core-periphery structure.
generate_degree_labels	Generate node labels based on degree binning.
sample_negative_edges	Sample negative edges (non-existent edges) from the graph.
split_edges	Split graph edges into train/validation/test sets.
summarize_classification_results	Summarize classification results across all label strategies.
summarize_link_prediction_results	Summarize link prediction results across all edge feature methods.