SST-Algin

Topological Network Alignment using Self-Supervised Siamese Model

How to replicate

Important: may need to change the path in both sh & py files according to your file structure

Add Noise

• Code file name Noisy_graph.py
• follow run_noise.sh file

Command Format python Noisy_graph.py graph_file_name percentage_error

Run ORCA for graphlet

• follow run_orca.sh file
• edit the graph file and add (node_count, edge_count) at the top of each file before running orca

Command Format orca.exe node [#nodes] filename output

Imoprtant: need to add orca.exe to the bash path, orca software can be found in folder orca-master or can be downloaded from github

Run imap

• edit the graph file and remove (node_count, edge_count) at the top of each file before running imap code
• Code file name Graphlet_imap.py
• follow run_imap_all.sh file with other imap.sh files

Command Format python Graphlet_imap.py graph_1 graph_2 graphlet_file_1 graphlet_file_2 initial_map nbr

Run GATNE

• Code file name GATNE.py
• follow run_gatne_all.sh file with other gatne.sh files

Command Format python GATNE.py g1 g2 f1 f2 mapI mapT lr epc bs dim topk