NeighSqueeze: Compact Neighborhood Grouping for Efficient Billion-Scale Heterogeneous Graph Learning.
Xinyue Feng|Shuxin Zhong|Jinquan Hang|Yuequn Zhang|Guang Yang|Haotian Wang|Desheng Zhang|Guang Wang
| Anthology ID: | DBLP:conf/cikm/FengZHZ000025 |
|---|---|
| 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: | 5658-5665 |
| URL: | https://doi.org/10.1145/3746252.3761569 |
| DOI: | https://doi.org/10.1145/3746252.3761569 |
| DBLP: | conf/cikm/FengZHZ000025 |
| BibTeX: |
@inproceedings{feng-2025-neighsqueeze,
author = {Xinyue Feng and
Shuxin Zhong and
Jinquan Hang and
Yuequn Zhang and
Guang Yang and
Haotian Wang and
Desheng Zhang and
Guang Wang},
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 = {{NeighSqueeze: Compact Neighborhood Grouping for Efficient Billion-Scale Heterogeneous Graph Learning}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {5658--5665},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761569},
doi = {https://doi.org/10.1145/3746252.3761569}
}