Added bash scripts

Signed-off-by: Chanakya <[email protected]>

README.md

@@ -87,11 +87,9 @@ bash ../scripts/run_cora.sh
 
 ## People Involved
 
-This project would not have been possible without the involvement of the following people:
-
+- Chanakya Ekbote [📧](mailto:[email protected])
 - Vijay Lingam [📧](mailto:[email protected])
 - Manan Sharma [📧](mailto:[email protected])
-- Chanakya Ekbote [📧](mailto:[email protected])
 - Rahul Ragesh [📧](mailto:[email protected])
 - Arun Iyer [📧](mailto:[email protected])
 - Sundararajan Sellamanickam [📧](mailto:[email protected])

scripts/run_chameleon.sh

@@ -1,2 +1,2 @@
 #!/bin/bash
-python train_model.py --dataset chameleon_pca --net PPGNN --split 4 --hidden 32 --Init PPR --alpha 0.1 --lr 0.003 --weight_decay 0.001 --dropout 0.5 --total_buckets 4 --alphas "0.703984988, 0.882227218,	0.896620177, 0.368717563, 0.584842505" --evd_dims 256 --beta 0.959941144 --K 6
+python main.py --lr 0.005 --weight_decay 0.001 --hidden 64 --dropout 0.5 --K 2 --dprate 0.5 --Init Random --dataset chameleon_pca --split 4 --beta 0.854452487524504 --total_buckets 4 --evd_dims 256 --net PPGNN

scripts/run_citeseer.sh

@@ -1,2 +1,2 @@
 #!/bin/bash
-python train_model.py --dataset citeseer --net PPGNN --split 4 --hidden 16 --Init PPR --alpha 0.9 --lr 0.005 --weight_decay 0.001 --dropout 0.5 --total_buckets 4 --alphas "0.324909645, 0.100214462, 0.544763371, 0.347025153, 0.391095806" --evd_dims 1024 --beta 0.55052969 --K 3
+python main.py --lr 0.005 --weight_decay 0.001 --hidden 64 --dropout 0.8 --K 6 --dprate 0.5 --Init Random --dataset citeseer --split 4 --beta 0.916848785272776 --total_buckets 4 --evd_dims 256 --net PPGNN

scripts/run_computers.sh

@@ -1,2 +1,2 @@
 #!/bin/bash
-python train_model.py --dataset amazon_electronics_computers --net PPGNN --split 2 --hidden 32 --Init PPR --alpha 0.1 --lr 0.008 --weight_decay 0.005 --dropout 0.3 --total_buckets 2 --alphas "0.132110701, 0.62285746, 0.142224807" --evd_dims 32 --beta 0.642958427 --K 3
+python main.py --dataset amazon_electronics_computers --net PPGNN --split 2 --hidden 64 --Init Random --lr 0.005 --weight_decay 0.0001 --dropout 0.5 --total_buckets 4 --evd_dims 256 --beta 0.544763370991629 --K 4 --dprate 0.5

scripts/run_cora.sh

@@ -1,2 +1 @@
-#!/bin/bash
-python train_model.py --dataset cora --net PPGNN --split 1 --hidden 16 --Init PPR --alpha 0.9 --lr 0.01 --weight_decay 0.005 --dropout 0.4 --total_buckets 5 --alphas "0.09210494, 0.433701173, 0.430862763, 0.493685098, 0.42583029, 0.312261223" --evd_dims 128 --beta 0.317285482 --K 8
+python main.py --lr 0.005 --weight_decay 0.001 --hidden 64 --dropout 0.5 --K 2 --dprate 0.5 --Init Random --dataset Cora --split 2 --beta 0.293714046388829 --total_buckets 4 --evd_dims 256 --net PPGNN

scripts/run_cora_full.sh

@@ -1,3 +1,2 @@
 #!/bin/bash
-python train_model.py --dataset cora_full_pca --net PPGNN --split 4 --hidden 64 --Init PPR --alpha 0.5 --lr 0.001 --weight_decay 0.001 --dropout 0.5 --total_buckets 4 --alphas "0.891402077, 0.497676851, 0.979201634, 0.801711466, 0.166593359" --evd_dims 1024 --beta 0.524618276 --K 8
-
+python main.py --lr 0.005 --weight_decay 0.001 --hidden 64 --dropout 0.3 --K 6 --dprate 0.5 --Init Random --dataset cora_full_pca --split 0 --beta 0.669313782962272 --total_buckets 4 --evd_dims 256 --net PPGNN

scripts/run_photo.sh

@@ -1,2 +1 @@
-#!/bin/bash
-python train_model.py --dataset amazon_electronics_photo --net PPGNN --split 5 --hidden 32 --Init PPR --alpha 0.5 --lr 0.005 --weight_decay 0.005 --dropout 0.2 --total_buckets 4 --alphas "0.560634143, 0.794203471, 0.748465746, 0.59065997, 0.197023017" --evd_dims 512 --beta 0.504055858 --K 4
+python main.py --lr 0.005 --weight_decay 0.001 --hidden 64 --dropout 0.3 --K 2 --dprate 0.5 --Init Random --dataset amazon_electronics_photo --split 2 --beta 0.293714046388829 --total_buckets 4 --evd_dims 256 --net PPGNN

scripts/run_squirrel.sh

@@ -1,2 +1,2 @@
 #!/bin/bash
-python train_model.py --dataset squirrel --net PPGNN --split 3 --hidden 16 --Init PPR --alpha 0.9 --lr 0.008 --weight_decay 0.0005 --dropout 0.7 --total_buckets 5 --alphas "0.338293829, 0.074655716, 0.782878507,	0.190958859, 0.644300965, 0.269786285" --evd_dims 1024 --beta 0.475421622 --K 2
+python main.py --lr 0.005 --weight_decay 0.001 --hidden 64 --dropout 0.5 --K 4 --dprate 0.5 --Init Random --dataset squirrel --split 0 --beta 0.792651360726474 --total_buckets 4 --evd_dims 1024 --net PPGNN