README

README.md

@@ -50,7 +50,24 @@ An overview on how to contribute can be found in the [**contributing guide**](CO
 ----
 If you use this repository for any research or public project, please reference:
 
-[Sahasrabudhe, A., & Bekkers, J. (2023). A graph neural network deep-dive into successful counterattacks. MIT Sloan Sports Analytics Conference.](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=eerdAe8AAAAJ&citation_for_view=eerdAe8AAAAJ:d1gkVwhDpl0C)
+📎 [Bekkers, J., & Dabadghao, S. (2019). Flow motifs in soccer: What can passing behavior tell us?. Journal of Sports Analytics, 5(4), 299-311.](https://content.iospress.com/download/journal-of-sports-analytics/jsa190290?id=journal-of-sports-analytics%2Fjsa190290)
+
+```bash
+@article{bekkers2019flow,
+  title={Flow motifs in soccer: What can passing behavior tell us?},
+  author={Bekkers, Joris and Dabadghao, Shaunak},
+  journal={Journal of Sports Analytics},
+  volume={5},
+  number={4},
+  pages={299--311},
+  year={2019},
+  publisher={IOS Press}
+}
+```
+
+and / or
+
+📎 [Sahasrabudhe, A., & Bekkers, J. (2023). A graph neural network deep-dive into successful counterattacks. MIT Sloan Sports Analytics Conference.](https://ussf-ssac-23-soccer-gnn.s3.us-east-2.amazonaws.com/public/Sahasrabudhe_Bekkers_SSAC23.pdf)
 
 ```bash
 @inproceedings{sahasrabudhe2023graph,
@@ -60,4 +77,8 @@ If you use this repository for any research or public project, please reference:
   pages={15},
   year={2023}
 }
-```
+```
+
+🌀 License
+----
+[AGPL-3.0 License](LICENSE)