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On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra. 2024. On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks. Advances in Neural Information Processing Systems 38 (2024).
Scripts used to get results for BUDDY can be found in /subgraph-sketching/scripts.
Other scripts can be found in /hetelinkpred/shell-scripts-hetelinkpred.
GNN Encoders Supported
GraphSAGE
GCN
BUDDY
Decoders Supported
MLP
DistMult
Dot product
Heuristics Supported
Common Neighbor
Adamic Adar
Resource Allocation
Personalized Page Rank
Datasets
Synthetic dataset of varying heterophily level
ogbl-collab
ogbl-citation2
E-Commerce
Attributed-PPI
Attributed-Facebook
Please following the script below to unzip the synthetic and e-commerce datasets.
# sudo apt-get install p7zip-full # install 7z for ubuntu.# brew install p7zip # install 7z for mac# For windows, download 7z from https://www.7-zip.org/download.htmlcd hetelinkped
7z x dataset.7z.part.001
7z x dataset.7z
Other datasets can be downloaded from their repective official sites, and processed with /hetelinkpred/generate_split.py
Contact
Please contact Jiong Zhu (jiongzhu@umich.edu) in case you have any questions.
Citation
Please cite our paper if you make use of this code in your own work:
@article{zhu2024impactfeatureheterophilylink,
title={On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks},
author={Zhu, Jiong and Li, Gaotang and Yang, Yao-An and Zhu, Jing and Cui, Xuehao and Koutra, Danai},
journal={Advances in Neural Information Processing Systems},
volume={37},
year={2024}
}