Welcome to ThinkMatch’s documentation!¶
ThinkMatch is a deep graph matching repository developed and maintained by ThinkLab at Shanghai Jiao Tong University.
This repository is developed for the following purposes:
Providing modules for developing deep graph matching algorithms to facilitate future research.
Providing implementation of state-of-the-art deep graph matching methods.
Benchmarking existing deep graph matching algorithms under different dataset & experiment settings, for the purpose of fair comparison.
- src.backbone
- src.build_graphs
- src.factorize_graph_matching
- src.displacement_layer
- src.evaluation_metric
- src.evaluation_metric.clustering_accuracy
- src.evaluation_metric.clustering_purity
- src.evaluation_metric.format_accuracy_metric
- src.evaluation_metric.format_metric
- src.evaluation_metric.matching_accuracy
- src.evaluation_metric.matching_precision
- src.evaluation_metric.matching_recall
- src.evaluation_metric.objective_score
- src.evaluation_metric.pck
- src.evaluation_metric.rand_index
- src.gconv
- src.loss_func
- src.spectral_clustering
- src.lap_solvers