GRN

This repository contains a PyTorch implementation of "Graph Reciprocal Neural Networks by Abstracting Node as Attribute".

Runtime Environment

• CUDA=11.5
• torch=1.11.0
• torch-geometric=2.0.3

Run

python main.py

Citation

@article{yang2023grn,
  title={Graph Reciprocal Neural Networks by Abstracting Node as Attribute},
  author={Yang, Liang and Wang, Jiayi and He, Dongxiao and Wang, Chuan and Cao, Xiaochun and Niu, Bingxin and Wang, Zhen},
  year={2023},
  booktitle = {{IEEE} International Conference on Data Mining, {ICDM} 2023, Shanghai, China, December 1-4, 2023},
  pages        = {1463--1468},
  publisher    = {{IEEE}},
  year         = {2023},
  url          = {https://doi.org/10.1109/ICDM58522.2023.00192},
  doi          = {10.1109/ICDM58522.2023.00192},
  timestamp    = {Wed, 24 Jul 2024 07:50:46 +0200},
  biburl       = {https://dblp.org/rec/conf/icdm/YangWHWCN023.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}