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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

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DeepInf: Social Influence Prediction with Deep Learning

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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}
}
```