Node Dependent Local Smoothing for Scalable Graph Learning

Last update: Nov 28, 2022

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Overview

Node Dependent Local Smoothing for Scalable Graph Learning

Requirements

Environments: Xeon Gold 5120 (CPU), 384GB(RAM), TITAN RTX (GPU), Ubuntu 16.04 (OS)

The PyTorch version we use is torch 1.7.1+cu110. Please refer to the official website -- https://pytorch.org/get-started/locally/ -- for the detailed installation instructions.

To install other requirements:

pip install -r requirements.txt

Training

To train the model(s) in the paper, run this command:

cd src; python train.py --dataset cora/citeseer/pubmed

Please refer to the Appendix for the detailed hyperparameters.

Node Classification Results

Transductive Setting:
Inductive Setting:
Efficiency Comparison:

Owner

Wentao Zhang

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GitHub Repository

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Node Dependent Local Smoothing for Scalable Graph Learning

Related tags

Overview

Node Dependent Local Smoothing for Scalable Graph Learning

Requirements

Training

Node Classification Results

Owner

Wentao Zhang

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