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refactor(graphmixer): enhance channel graph attention with ST-Gumbel

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game-loader
2025-09-06 00:06:26 +08:00
parent ef307a57e9
commit 9f7fb24beb
3 changed files with 165 additions and 111 deletions
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131
scripts/long_term_forecast/xPatch_SparseChannel_all-Copy1.sh
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@ -2,6 +2,71 @@
model_name=xPatch_SparseChannel
# Weather dataset
for pred_len in 96 192 336 720
do
python -u run.py \
--task_name long_term_forecast \
--is_training 1 \
--root_path ./dataset/weather/ \
--data_path weather.csv \
--model_id weather_$pred_len'_'$pred_len \
--model $model_name \
--data custom \
--features M \
--seq_len 96 \
--label_len 48 \
--pred_len $pred_len \
--e_layers 2 \
--d_layers 1 \
--enc_in 21 \
--c_out 21 \
--d_model 128 \
--lradj 'sigmoid' \
--train_epochs 20 \
--d_ff 256 \
--n_heads 16 \
--patch_len 16 \
--stride 8 \
--k_graph 8 \
--dropout 0.1 \
--revin 1 \
--des 'Exp' \
--itr 1
done
# Exchange dataset
for pred_len in 96 192 336 720
do
python -u run.py \
--task_name long_term_forecast \
--is_training 1 \
--root_path ./dataset/exchange_rate/ \
--data_path exchange_rate.csv \
--model_id Exchange_$pred_len'_'$pred_len \
--model $model_name \
--data custom \
--features M \
--seq_len 96 \
--label_len 48 \
--pred_len $pred_len \
--e_layers 2 \
--d_layers 1 \
--enc_in 8 \
--c_out 8 \
--d_model 128 \
--lradj 'sigmoid' \
--d_ff 256 \
--n_heads 16 \
--patch_len 16 \
--stride 8 \
--k_graph 8 \
--dropout 0.1 \
--revin 1 \
--des 'Exp' \
--itr 1
done
# ETTm1 dataset
for pred_len in 96 192 336 720
do
@ -22,11 +87,12 @@ python -u run.py \
--enc_in 7 \
--c_out 7 \
--d_model 128 \
--lradj 'sigmoid' \
--d_ff 256 \
--n_heads 16 \
--patch_len 16 \
--stride 8 \
--k_graph 7 \
--k_graph 5 \
--dropout 0.1 \
--revin 1 \
--des 'Exp' \
@ -53,6 +119,7 @@ python -u run.py \
--enc_in 7 \
--c_out 7 \
--d_model 128 \
--lradj 'sigmoid' \
--d_ff 256 \
--n_heads 16 \
--patch_len 16 \
@ -84,6 +151,7 @@ python -u run.py \
--enc_in 7 \
--c_out 7 \
--d_model 128 \
--lradj 'sigmoid' \
--d_ff 256 \
--n_heads 16 \
--patch_len 16 \
@ -115,6 +183,7 @@ python -u run.py \
--enc_in 7 \
--c_out 7 \
--d_model 128 \
--lradj 'sigmoid' \
--d_ff 256 \
--n_heads 16 \
--patch_len 16 \
@ -126,36 +195,6 @@ python -u run.py \
--itr 1
done
# Weather dataset
for pred_len in 96 192 336 720
do
python -u run.py \
--task_name long_term_forecast \
--is_training 1 \
--root_path ./dataset/weather/ \
--data_path weather.csv \
--model_id weather_$pred_len'_'$pred_len \
--model $model_name \
--data custom \
--features M \
--seq_len 96 \
--label_len 48 \
--pred_len $pred_len \
--e_layers 2 \
--d_layers 1 \
--enc_in 21 \
--c_out 21 \
--d_model 128 \
--d_ff 256 \
--n_heads 16 \
--patch_len 16 \
--stride 8 \
--k_graph 8 \
--dropout 0.1 \
--revin 1 \
--des 'Exp' \
--itr 1
done
# ECL dataset
for pred_len in 96 192 336 720
@ -219,33 +258,3 @@ python -u run.py \
--itr 1
done
# Exchange dataset
for pred_len in 96 192 336 720
do
python -u run.py \
--task_name long_term_forecast \
--is_training 1 \
--root_path ./dataset/exchange_rate/ \
--data_path exchange_rate.csv \
--model_id Exchange_$pred_len'_'$pred_len \
--model $model_name \
--data custom \
--features M \
--seq_len 96 \
--label_len 48 \
--pred_len $pred_len \
--e_layers 2 \
--d_layers 1 \
--enc_in 8 \
--c_out 8 \
--d_model 128 \
--d_ff 256 \
--n_heads 16 \
--patch_len 16 \
--stride 8 \
--k_graph 8 \
--dropout 0.1 \
--revin 1 \
--des 'Exp' \
--itr 1
done