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deepmatching's Introduction

The whole process of deep matching for two large graphes is divided into five stages as following:

1. Detection the community in the  graphes
2. Matching the communities by using their features 
3. Pre-process stage : apply the nodes matching method, deepwalk&CPD or bipartitie_matching, to the subgraphes generated wiht the matched communities and obtain the  matched nodes pairs between the pairs of communities
4. Edges-credibility stage : With the matched nodes pairs obtained in stage 3 as the input to this stage, using the edges credibility algritom to detect the real seed nodes pairs as the output.  
5. Refine stage : With the real seed nodes pairs obtained in stage 4, applying the propagation algritom to match the rest nodes of the different subgraphes.

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