# Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat

```
@inproceedings{tgcnl_kdd19,
 author = {Liu, Yozen and Shi, Xiaolin and Pierce, Lucas and Ren, Xiang},
 title = {Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat},
 booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \&\#38; Data Mining (KDD)},
 pages = {2023--2031},
 year = {2019}
}
```

links
- [kdd](https://dl.acm.org/citation.cfm?id=3330750)
- [acm](https://dl.acm.org/citation.cfm?id=3330750)
- [arXiv](https://arxiv.org/abs/1906.00355)
- [spotlight](https://www.youtube.com/watch?v=m8m72FSDgPY)
- [code](https://github.com/INK-USC/temporal-gcn-lstm)
