Implementation for On Provable Benefits of Depth in Training Graph Convolutional Networks

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Deep LearningDGCN
Overview

Implementation for On Provable Benefits of Depth in Training Graph Convolutional Networks

Setup

This implementation is based on PyTorch >= 1.0.0. Small dataset (including Cora, Citeseer, and Pubmed) are located in the data folder.

Usage

Please use the jupyter notebook files localed in the ./jupyter_notebooks. Please copy the file you want to run to the root folder, i.e., ./DGCN/CODE_WANT_TO_RUN.ipynb, then directly run it using jupyter notebook.

Owner
Weilin Cong
Graduate student at Pennsylvania State University.
Weilin Cong
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