Configure Benchmark

Experiment Parameters

Refer to the help text by:

$ python benchmark/run_single.py --help

--help

show this help message and exit

Logging configuration

--seed SEED

random seed

--dev DEV

GPU id

--suffix SUFFIX

Result log file name. None:not saving results

-quiet

File log. True:dry run without saving logs

--storage STORAGE

Checkpoint log storage scheme. Options: state_file, state_ram, state_gpu

--loglevel LOGLEVEL

Console log. 10:progress, 15:train, 20:info, 25:result

Data configuration

--data DATA

Dataset name

--data_split DATA_SPLIT

Index or percentage of dataset split

--normg NORMG

Generalized graph norm

--normf NORMF

Embedding norm dimension. 0: feat-wise, 1: node-wise, None: disable

Model configuration

--model MODEL

Model class name

--conv CONV

Conv class name

--num_hops NUM_HOPS

Number of conv hops

--in_layers IN_LAYERS

Number of MLP layers before conv

--out_layers OUT_LAYERS

Number of MLP layers after conv

--hidden HIDDEN

Number of hidden width

--dp_lin DP_LIN

Dropout rate for linear

--dp_conv DP_CONV

Dropout rate for conv

Training configuration

--epoch EPOCH

Number of epochs

--patience PATIENCE

Patience epoch for early stopping

--period PERIOD

Periodic saving epoch interval

--batch BATCH

Batch size

--lr_lin LR_LIN

Learning rate for linear

--lr_conv LR_CONV

Learning rate for conv

--wd_lin WD_LIN

Weight decay for linear

--wd_conv WD_CONV

Weight decay for conv

Model-specific

--theta_scheme THETA_SCHEME

Filter name

--theta_param THETA_PARAM

Hyperparameter for filter

--combine COMBINE

How to combine different channels of convs. Options: sum, sum_weighted, cat

Conv-specific

--alpha ALPHA

Decay factor

--beta BETA

Scaling factor

Test flags

--test_deg

Call test_deg()

Add New Dataset

Append the SingleGraphLoader._resolve_import() method to include new datasets under respective protocols.