wutaiqiang / ger-wsdm2023 Goto Github PK

The following are the parameters used during my training:
--dataset_path data/zeshel
--pretrained_model /work/users/qdd/bert-base-uncased/
--name ger_hgat
--log_dir output/ger_hgat
--mu 0.5
--epoch 10
--train_batch_size 32
--eval_batch_size 32
--encode_batch_size 128
--eval_interval 200
--logging_interval 10
--graph
--gnn_layers 3
--learning_rate 2e-5
--do_eval
--do_test
--do_train
--data_parallel
--dual_loss
--handle_batch_size 4
--return_type hgat
When reproducing node_max_add, I only replaced the return_type with 'node_max_add,Everything else remains unchanged.
The reproduction results show that node_max_add has a higher recall than HGAT
I need to ask if there are any issues with the parameters I provided

I am trying to recreate the results from the paper. I was able to get all the ZESHEL experiment results but I was not able to find any code to get the WNED-CWEB and ACQUAINT results. Could you please give the steps to be followed to recreate these results?