A Tutorial on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide.
Sunwoo Kim|Soo Yong Lee|Yue Gao|Alessia Antelmi|Mirko Polato|Kijung Shin
| Anthology ID: | DBLP:conf/cikm/KimL0APS25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 6829-6832 |
| URL: | https://doi.org/10.1145/3746252.3761449 |
| DOI: | https://doi.org/10.1145/3746252.3761449 |
| DBLP: | conf/cikm/KimL0APS25 |
| BibTeX: |
@inproceedings{kim-2025-tutorial,
author = {Sunwoo Kim and
Soo Yong Lee and
Yue Gao and
Alessia Antelmi and
Mirko Polato and
Kijung Shin},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{A Tutorial on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {6829--6832},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761449},
doi = {https://doi.org/10.1145/3746252.3761449}
}