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https://github.com/xptree/deepinf
DeepInf: Social Influence Prediction with Deep Learning
https://github.com/xptree/deepinf
graph-attention-networks graph-convolutional-networks pytorch social-network
Last synced: 7 days ago
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DeepInf: Social Influence Prediction with Deep Learning
- Host: GitHub
- URL: https://github.com/xptree/deepinf
- Owner: xptree
- License: mit
- Created: 2018-05-24T15:43:56.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-07-13T14:29:54.000Z (over 4 years ago)
- Last Synced: 2025-01-30T21:12:28.724Z (15 days ago)
- Topics: graph-attention-networks, graph-convolutional-networks, pytorch, social-network
- Language: Python
- Homepage:
- Size: 84.1 MB
- Stars: 292
- Watchers: 14
- Forks: 86
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# DeepInf
This is a PyTorch implementation of DeepInf for the task of predicting social influence, as described in our paper:
[DeepInf: Social Influence Prediction with Deep Learning](https://arxiv.org/abs/1807.05560)
The code is tested on PyTorch 0.4.0.
## Datasets
Please download the peprocessed datasets from [onedrive](https://1drv.ms/f/s!An4lcD8a80_7gzdLaanNUThTWwmy), [dropbox](https://www.dropbox.com/s/y1iokawi33mn87y/DeepInf.tar.gz?dl=0), [google drive](https://drive.google.com/open?id=1qBIVdwkKcnOGZnXHcIizzW4_bUekRgC6),
or [baidu pan]( https://pan.baidu.com/s/1YX3cHYaK_7UuX4qEnqgo9w)(with password 242g).If you are interested in un-preprocessed data, please download them from the following links.
* [Digg dataset](https://www.isi.edu/~lerman/downloads/digg2009.html)
* [Twitter dataset](https://snap.stanford.edu/data/higgs-twitter.html)
* [OAG dataset](https://www.openacademic.ai/oag/)
* [Weibo dataset](https://www.aminer.cn/influencelocality)## Promotional Video
The promotional video is available [here](https://www.dropbox.com/s/hesbb7bdi3shp0i/deepinf.mp4?dl=0)
## Cite
Please cite our paper if you use this code in your own work:
```
@inproceedings{qiu2018deepinf,
title={DeepInf: Social Influence Prediction with Deep Learning},
author={Qiu, Jiezhong and Tang, Jian and Ma, Hao and Dong, Yuxiao and Wang, Kuansan and Tang, Jie},
booktitle={Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’18)},
year={2018}
}
```