pyTorch implementation of HiPool submission paper HiPool: Hierarchical Pooling for Long Document Classification.
The code is based on this implementation: git link
Tested on python 3.8.8.
conda env create -f environment.yml
CUDA_VISIBLE_DEVICES=1 python train_imdb.py --sentlen 50 --adj_method bigbird --level sent --graph_type gat --epoch 10
default dataset: consumer_complaints
train_imdb.py: main function.
Dataset_Split_Class.py: data loading.
Bert_Classification.py: modeling for BERT and graphs.
Graph_Models.py: graph model classes.
Graph_Models_utils.py: helper functions for graph model classes.