This project uses Anaconda + Python3.7 Several Python packages required to run the project, in requirements.txt
These Python packages can be installed using Pip or Conda as shown in the following example：

pip install -r requirements.txt

conda install --yes --file requirements.txt

There are three folders

1.Input folder： A folder containing four datasets：

• Dataset Ⅰ:728_129
• Dataset Ⅱ:32_119
• Dataset Ⅲ:312_747
• Dataset Ⅳ:1380_221
  

Each data set contains virus-host interactions, virus-virus similarity, and host-host similarity

2.Embedding folder： There are also four folders for four data sets, and each folder contains the Node2Vec Embeddings file generated for each fold of the training data

3.Novel_VHI folder： There are also four folders for each of the four data sets to write to the new VHIs

Python文件

• load_datasets.py-->Read input data, including interaction and similarity
• get_Embedding_FV.py--> Read the inserts generated by Node2vec and get the FV for each virus and host (CV random seed = 22)
• training_functions.py-->Used for several training and processing functions, such as edgeList, Cosine_similarity,..
• pathScores_functions.py-->Calculates and returns all path scores for the path structure
• snf_code.py-->Similarity network fusion function
• GIP.py--> Calculates and returns the GIP similarity
• VHIs_Main_ada.py-->main（3）

python VHIs_Main_ada.py --data 728_129

python VHIs_Main_ada.py --data 32_119

python VHIs_Main_ada.py --data 312_747

python VHIs_Main_ada.py  --data 1380_221