CaGCN
This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".
Paper Link: https://arxiv.org/abs/2109.14285
Environment
- python == 3.8.8
- pytorch == 1.8.1
- dgl -cuda11.1 == 0.6.1
- networkx == 2.5
- numpy == 1.20.2
GPU: GeForce RTX 2080 Ti
CPU: Intel(R) Xeon(R) Silver 4210 CPU @ 2.20GHz
Confidence Calibration
CaGCN
python CaGCN.py --model GCN --hidden 64 --dataset dataset --labelrate labelrate --stage 1 --lr_for_cal 0.01 --l2_for_cal 5e-3
python CaGCN.py --model GAT --hidden 8 --dataset dataset --labelrate labelrate --dropout 0.6 --lr 0.005 --stage 1 --lr_for_cal 0.01 --l2_for_cal 5e-3
- dataset: including [Cora, Citeseer, Pubmed], required.
- labelrate: including [20, 40, 60], required.
e.g.,
python CaGCN.py --model GCN --hidden 64 --dataset Cora --labelrate 20 --stage 1 --lr_for_cal 0.01 --l2_for_cal 5e-3
python CaGCN.py --model GAT --hidden 8 --dataset Cora --labelrate 20 --dropout 0.6 --lr 0.005 --stage 1 --lr_for_cal 0.01 --l2_for_cal 5e-3
For CoraFull,
python CaGCN.py --model GCN --hidden 64 --dataset CoraFull --labelrate labelrate --stage 1 --lr_for_cal 0.01 --l2_for_cal 0.03
python CaGCN.py --model GAT --hidden 8 --dataset CoraFull --labelrate labelrate --dropout 0.6 --lr 0.005 --stage 1 --lr_for_cal 0.01 --l2_for_cal 0.03
- labelrate: including [20, 40, 60], required.
Uncalibrated model
python train_others.py --model GCN --hidden 64 --dataset dataset --labelrate labelrate --stage 1
python train_others.py --model GAT --hidden 8 --dataset dataset --labelrate labelrate --stage 1 --dropout 0.6 --lr 0.005
- dataset: including [Cora, Citeseer, Pubmed, CoraFull], required.
- labelrate: including [20, 40, 60], required.
e.g.,
python train_others.py --model GCN --hidden 64 --dataset Cora --labelrate 20 --stage 1
python train_others.py --model GAT --hidden 8 --dataset Cora --labelrate 20 --stage 1 --dropout 0.6 --lr 0.005
Temperature scaling & Matring Scaling
python train_others.py --model GCN --scaling_method method --hidden 64 --dataset dataset --labelrate labelrate --stage 1 --lr_for_cal 0.01 --max_iter 50
python train_others.py --model GAT --scaling_method method --hidden 8 --dataset dataset --labelrate labelrate --dropout 0.6 --lr 0.005 --stage 1 --lr_for_cal 0.01 --max_iter 50
- method: including [TS, MS], required.
- dataset: including [Cora, Citeseer, Pubmed, CoraFull], required.
- labelrate: including [20, 40, 60], required.
e.g.,
python train_others.py --model GCN --scaling_method TS --hidden 64 --dataset Cora --labelrate 20 --stage 1 --lr_for_cal 0.01 --max_iter 50
python train_others.py --model GAT --scaling_method TS --hidden 8 --dataset Cora --labelrate 20 --dropout 0.6 --lr 0.005 --stage 1 --lr_for_cal 0.01 --max_iter 50
Self-Training
GCN L/C=20
python CaGCN.py --model GCN --hidden 64 --dataset Cora --labelrate 20 --stage 4 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 200 --threshold 0.8
python CaGCN.py --model GCN --hidden 64 --dataset Citeseer --labelrate 20 --stage 5 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 150 --threshold 0.9
python CaGCN.py --model GCN --hidden 64 --dataset Pubmed --labelrate 20 --stage 6 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 100 --threshold 0.8
python CaGCN.py --model GCN --hidden 64 --dataset CoraFull --labelrate 20 --stage 4 --lr_for_cal 0.001 --l2_for_cal 0.03 --epoch_for_st 500 --threshold 0.85
GCN L/C=40
python CaGCN.py --model GCN --hidden 64 --dataset Cora --labelrate 40 --stage 2 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 200 --threshold 0.8
python CaGCN.py --model GCN --hidden 64 --dataset Citeseer --labelrate 40 --stage 2 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 150 --threshold 0.85
python CaGCN.py --model GCN --hidden 64 --dataset Pubmed --labelrate 40 --stage 4 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 100 --threshold 0.8
python CaGCN.py --model GCN --hidden 64 --dataset CoraFull --labelrate 40 --stage 4 --lr_for_cal 0.001 --l2_for_cal 0.03 --epoch_for_st 500 --threshold 0.99
GCN L/C=60
python CaGCN.py --model GCN --hidden 64 --dataset Cora --labelrate 60 --stage 4 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 200 --threshold 0.8
python CaGCN.py --model GCN --hidden 64 --dataset Citeseer --labelrate 60 --stage 2 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 150 --threshold 0.8
python CaGCN.py --model GCN --hidden 64 --dataset Pubmed --labelrate 60 --stage 3 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 100 --threshold 0.6
python CaGCN.py --model GCN --hidden 64 --dataset CoraFull --labelrate 60 --stage 5 --lr_for_cal 0.001 --l2_for_cal 0.03 --epoch_for_st 500 --threshold 0.9
GAT L/C=20
python CaGCN.py --model GAT --hidden 8 --dataset Cora --labelrate 20 --dropout 0.6 --lr 0.005 --stage 6 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 200 --threshold 0.8
python CaGCN.py --model GAT --hidden 8 --dataset Citeseer --labelrate 20 --dropout 0.6 --lr 0.005 --stage 3 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 150 --threshold 0.7
python CaGCN.py --model GAT --hidden 8 --dataset Pubmed --labelrate 20 --dropout 0.6 --lr 0.005 --weight_decay 1e-3 --stage 2 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 100 --threshold 0.8
python CaGCN.py --model GAT --hidden 8 --dataset CoraFull --labelrate 20 --dropout 0.6 --lr 0.005 --stage 5 --lr_for_cal 0.001 --l2_for_cal 0.03 --epoch_for_st 500 --threshold 0.95
GAT L/C=40
python CaGCN.py --model GAT --hidden 8 --dataset Cora --labelrate 40 --dropout 0.6 --lr 0.005 --stage 4 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 200 --threshold 0.9
python CaGCN.py --model GAT --hidden 8 --dataset Citeseer --labelrate 40 --dropout 0.6 --lr 0.005 --stage 2 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 150 --threshold 0.8
python CaGCN.py --model GAT --hidden 8 --dataset Pubmed --labelrate 40 --dropout 0.6 --lr 0.005 --weight_decay 1e-3 --stage 2 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 100 --threshold 0.8
python CaGCN.py --model GAT --hidden 8 --dataset CoraFull --labelrate 40 --dropout 0.6 --lr 0.005 --stage 2 --lr_for_cal 0.001 --l2_for_cal 0.03 --epoch_for_st 500 --threshold 0.95
GAT L/C=60
python CaGCN.py --model GAT --hidden 8 --dataset Cora --labelrate 60 --dropout 0.6 --lr 0.005 --stage 2 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 200 --threshold 0.8
python CaGCN.py --model GAT --hidden 8 --dataset Citeseer --labelrate 60 --dropout 0.6 --lr 0.005 --stage 6 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 150 --threshold 0.8
python CaGCN.py --model GAT --hidden 8 --dataset Pubmed --labelrate 60 --dropout 0.6 --lr 0.005 --weight_decay 1e-3 --stage 3 --lr_for_cal 0.001 --l2_for_cal 5e-3 --epoch_for_st 100 --threshold 0.85
python CaGCN.py --model GAT --hidden 8 --dataset CoraFull --labelrate 60 --dropout 0.6 --lr 0.005 --stage 2 --lr_for_cal 0.001 --l2_for_cal 0.03 --epoch_for_st 500 --threshold 0.95
More Parameters
For more parameters of baselines, please refer to the Parameter.md
Contact
If you have any questions, please feel free to contact me with [email protected]
4 Jun 17, 2021
6 Apr 10, 2022
125 Jan 04, 2023
61 Oct 11, 2022
363 Dec 25, 2022
2k Jan 04, 2023
27 Dec 23, 2022
4 Feb 28, 2022
76 Dec 06, 2022
506 Nov 29, 2022
6 Sep 11, 2022
95 Oct 24, 2022
19 Dec 13, 2022
2 Oct 12, 2022
4.9k Jan 05, 2023
78 Nov 29, 2022
171 Dec 26, 2022
111 Dec 27, 2022
21 Dec 03, 2022
68 Dec 14, 2022