PyTorch implementation for KBS accepted paper "DCMSL: Dual influenced Community Strength-boosted Multi-Scale Graph Contrastive Learning".

• Python 3.8.8
• PyTorch 1.8.1
• torch_geometric 2.0.1
• cdlib 0.2.6
• networkx 2.5.1
• numpy 1.22.4

The hyperparameters for node classification can be found in ./param, which will be directly loaded by --param:

python train.py --dataset Coauthor-CS --param local:coauthor_cs.json 

It can be changed the parameter by either editting .json files or adding it to the command, for example:

python train.py --dataset Coauthor-CS --param local:coauthor_cs.json  --delta 0.3