/SANA-Robust-Network-Alignment-with-the-Combination-of-Structure-and-Attribute-Embeddings

source code for SANA network alignment model

Primary LanguagePython

Codes for the paper:《Robust Network Alignment with the Combination of Structure and Attribute Embeddings》.

dependencies

pytorch 1.10.2，networkx 2.3，python 3，cuda 10.2，dgl 1.1.0+cu102

file construction

  • algorithms
    • GATv2：contains the embedding model: multi_GATv2.py and embedding.py, the final run file run_method.py
    • refine: code for topological refinement
  • evaluation: contains the evaluation methods for the models
  • graph data: contain Douban and PPI datasets.
  • input: to generate the graph data
  • utils: contains some files for add noise to graph and generate target graphs for synthetic datas.

To run method

Go to MyAlign\algorithms\MyMethod\GATv2\run_method.py, and choose the data you want to test to run.