Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network.
Tianyu Zhao|Cheng Yang|Yibo Li|Quan Gan|Zhenyi Wang|Fengqi Liang|Huan Zhao|Yingxia Shao|Xiao Wang|Chuan Shi
| Anthology ID: | DBLP:conf/sigir/ZhaoYLGWLZSWS22 |
|---|---|
| Volume: | SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 |
| Year: | 2022 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2776-2789 |
| URL: | https://doi.org/10.1145/3477495.3531720 |
| DOI: | https://doi.org/10.1145/3477495.3531720 |
| DBLP: | conf/sigir/ZhaoYLGWLZSWS22 |
| BibTeX: |
@inproceedings{zhao-2022-space4hgnn,
author = {Tianyu Zhao and
Cheng Yang and
Yibo Li and
Quan Gan and
Zhenyi Wang and
Fengqi Liang and
Huan Zhao and
Yingxia Shao and
Xiao Wang and
Chuan Shi},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {2776--2789},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3531720},
doi = {https://doi.org/10.1145/3477495.3531720}
}