Awesome
PCFI (ICLR2023)
This repository is the official PyTorch implementation of "Confidence-Based Feature Imputation for Graphs with Partially Known Features" [Paper]. The codes are built on Feature Propagation.
Requirements
python >= 3.9 <br /> torch == 1.10.2 <br /> pyg == 2.0.3
To run the code
Semi-supervised node classification
python run_node.py
Link prediction
python run_link.py
Citation
@inproceedings{umconfidence,
title={Confidence-Based Feature Imputation for Graphs with Partially Known Features},
author={Um, Daeho and Park, Jiwoong and Park, Seulki and young Choi, Jin},
booktitle={The Eleventh International Conference on Learning Representations}
}