[AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification

Last update: Dec 22, 2022

Overview

Sparse Structure Learning via Graph Neural Networks for inductive document classification

Make graph dataset

create co-occurrence graph for datasets.

python ssl_make_graphs/create_cooc_document.py --raw_path SOURCEPATH --pre_path TARGETPATH --task DATASET --partition TRAINorTEST --window_size SIZE

construct in memory graph datsets.

python ssl_make_graphs/PygDocsGraphDatset.py --raw_path SOURCEPATH --task DATASET

Reproduce

python ssl_graphmodels/pyg_models/train_docs.py

Owner

GitHub Repository

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[AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification

Related tags

Overview

Sparse Structure Learning via Graph Neural Networks for inductive document classification

Make graph dataset

Reproduce

Owner

PyTorch implementation of Convolutional Neural Fabrics http://arxiv.org/abs/1606.02492

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