mal_api_2019 
- **Description**: API and DLL sequence data for malware classification, used for fine-tuning and validation of DGSM-SCAM-GAT.
- **Classes**: 2 (malware vs. benign),Combine the benign samples from the dataset dynamic_api_call_sequence with the malicious samples from mal_api_2019 to form a two-class dataset.
- **Format**: CSV files with API and DLL call sequences, similar to `dynamic_api_call_sequence`.
- **Download**: https://www.kaggle.com/datasets/focatak/malapi2019

   - Note: This file has been preprocessed and placed in the folder. If you want to preprocess data,please using dgsm-scam-gat_yz_api_data_2019.py code, please download the dataset 
      and rename the dataset text file to "mal_api_2019.txt" and the labels text file to "mal_api_2019_lables.txt". Then, place them in the folder at the path "ProgectPytorch\data\mal_api_2019".
     Ensure the file names are correct. Additionally, ensure that the “API_name_307.xlsx” file is placed in the folder at the path "ProgectPytorch\data\mal_api_2019".
