HoGA: Higher-Order Graph Attention via Diversity-Aware k-Hop Sampling.
Thomas Bailie|Yun Sing Koh|Surya Karthik Mukkavilli
| Anthology ID: | DBLP:conf/wsdm/BailieKM26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 27-36 |
| URL: | https://doi.org/10.1145/3773966.3777960 |
| DOI: | https://doi.org/10.1145/3773966.3777960 |
| DBLP: | conf/wsdm/BailieKM26 |
| BibTeX: |
@inproceedings{bailie-2026-hoga,
author = {Thomas Bailie and
Yun Sing Koh and
Surya Karthik Mukkavilli},
title = {{HoGA: Higher-Order Graph Attention via Diversity-Aware k-Hop Sampling}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {27--36},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3777960},
doi = {https://doi.org/10.1145/3773966.3777960}
}