Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification.
Sunil Kumar Maurya|Xin Liu|Tsuyoshi Murata
| Anthology ID: | DBLP:conf/cikm/Maurya0M22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4334-4338 |
| URL: | https://doi.org/10.1145/3511808.3557543 |
| DOI: | https://doi.org/10.1145/3511808.3557543 |
| DBLP: | conf/cikm/Maurya0M22 |
| BibTeX: |
@inproceedings{maurya-2022-neighbors,
author = {Sunil Kumar Maurya and
Xin Liu and
Tsuyoshi Murata},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {4334--4338},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557543},
doi = {https://doi.org/10.1145/3511808.3557543}
}