The codes and data for the paper "KNN-GNN: A powerful graph neural network enhanced by aggregating K-nearest neighbors in common subspace".
If you find the code useful, please cite our paper.
@article{KNN-GNN,
title = {KNN-GNN: A powerful graph neural network enhanced by aggregating K-nearest neighbors in common subspace},
journal = {Expert Systems with Applications},
volume = {253},
pages = {124217},
year = {2024},
issn = {0957-4174},
doi = {10.1016/j.eswa.2024.124217},
author = {Longjie Li and Wenxin Yang and Shenshen Bai and Zhixin Ma},
}