MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution.
Wendong Bi|Lun Du|Qiang Fu|Yanlin Wang|Shi Han|Dongmei Zhang
| Anthology ID: | DBLP:conf/wsdm/BiDFWHZ23 |
|---|---|
| Volume: | Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023. |
| Year: | 2023 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 132-140 |
| URL: | https://doi.org/10.1145/3539597.3570457 |
| DOI: | https://doi.org/10.1145/3539597.3570457 |
| DBLP: | conf/wsdm/BiDFWHZ23 |
| BibTeX: |
@inproceedings{bi-2023-mmgnn,
author = {Wendong Bi and
Lun Du and
Qiang Fu and
Yanlin Wang and
Shi Han and
Dongmei Zhang},
editor = {Tat-Seng Chua and
Hady Wirawan Lauw and
Luo Si and
Evimaria Terzi and
Panayiotis Tsaparas},
title = {{MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution}},
booktitle = {{Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023}},
pages = {132--140},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539597.3570457},
doi = {https://doi.org/10.1145/3539597.3570457}
}