D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning.
Honglu Zhou|Advith Chegu|Samuel S. Sohn|Zuohui Fu|Gerard de Melo|Mubbasir Kapadia
| Anthology ID: | DBLP:conf/cikm/ZhouCSFMK22 |
|---|---|
| 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: | 2732-2742 |
| URL: | https://doi.org/10.1145/3511808.3557344 |
| DOI: | https://doi.org/10.1145/3511808.3557344 |
| DBLP: | conf/cikm/ZhouCSFMK22 |
| BibTeX: |
@inproceedings{zhou-2022-dhypr,
author = {Honglu Zhou and
Advith Chegu and
Samuel S. Sohn and
Zuohui Fu and
Gerard de Melo and
Mubbasir Kapadia},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {2732--2742},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557344},
doi = {https://doi.org/10.1145/3511808.3557344}
}