deeprobust==0.2.11
numpy==1.26.4
dgl==1.0.1
gensim==4.3.3
google-auth==2.36.0
google-auth-oauthlib==1.0.0
google-pasta==0.2.0
ogb==1.2.0
scikit-learn==1.6.1
scipy==1.13.1
sympy==1.13.1
tiktoken==0.8.0
timeout-decorator==0.5.0
torch==2.2.0
torch-geometric==2.6.1
torchmetrics==1.6.1
torchvision==0.17.0
tqdm==4.67.1
pygod
wandb==0.16.0
POT
torch_scatter==2.1.2+pt22cu121
torch_sparse==0.6.18+pt22cu121
Cora, Citeseer: Pyg Reddit, Ogbn-arxiv, Flick: GraphSAINT GCond YelpChi: DGL Amazon: DGL DBLP, Citeseer: Pyg
- Clone this repo
git clone ...
cd TGCC/
- Install the required packages
pip install -r requirements.txt
-
Dwonload the datasets from the above links and put them in the
./datafolder -
Train the model (setting dataset to your dataset name)
./scripts/run_main.sh