# E-GraphSAGE11

**Repository Path**: xbystudy/e-graph-sage11

## Basic Information

- **Project Name**: E-GraphSAGE11
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-07-19
- **Last Updated**: 2024-07-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

This is a PyTorch implementation of the paper [E-GraphSAGE](https://arxiv.org/pdf/2103.16329.pdf).


## Prerequisites

- [Pytorch](http://pytorch.org/)
- [DGL](https://www.dgl.ai/)


### If you think this work is helpful, please cite
```latex
@inproceedings{lo2022graphsage,
  title={E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT},
  author={Lo, Wai Weng and Layeghy, Siamak and Sarhan, Mohanad and Gallagher, Marcus and Portmann, Marius},
  booktitle={NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium},
  pages={1--9},
  year={2022},
  organization={IEEE}
}
```