Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss.
David Y. Kang|Qiaozhu Mei|Sang-Wook Kim
| Anthology ID: | DBLP:conf/www/KangMK24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 959-968 |
| URL: | https://doi.org/10.1145/3589334.3645657 |
| DOI: | https://doi.org/10.1145/3589334.3645657 |
| DBLP: | conf/www/KangMK24 |
| BibTeX: |
@inproceedings{kang-2024-low,
author = {David Y. Kang and
Qiaozhu Mei and
Sang-Wook Kim},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {959--968},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645657},
doi = {https://doi.org/10.1145/3589334.3645657}
}