-VocabularyGraph.py:the vocabulary-level graph we build
-CharacterGraph.py:the character-level graph we build
-vgcn-bert.py:The proposed model we use
-vgcn-bertNoChar.py:The model that move away CharCNN
-vgcn-bertNoDynMM.py:The model that move away DynMM
-custom_dataset.py:To split the dataset into validate and train and pre-process the data
-MultipleFusion.py:The code that train the proposed model and get the metrics in 1,6,12 layers
-NoFusion.py:The code that train the vgcn-bertNoChar and get the metrics in 1,6,12 layers
-FusionWithoutDynMM:The code that train the vgcn-bertNoDynMM and get the metrics in 1,6,12 layers