NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features.
Kentaro Miyake|Hiroyoshi Ito|Christos Faloutsos|Hirotomo Matsumoto|Atsuyuki Morishima
| Anthology ID: | DBLP:conf/www/MiyakeIFMM24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2542-2551 |
| URL: | https://doi.org/10.1145/3589334.3647982 |
| DOI: | https://doi.org/10.1145/3589334.3647982 |
| DBLP: | conf/www/MiyakeIFMM24 |
| BibTeX: |
@inproceedings{miyake-2024-netevolve,
author = {Kentaro Miyake and
Hiroyoshi Ito and
Christos Faloutsos and
Hirotomo Matsumoto and
Atsuyuki Morishima},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {2542--2551},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3647982},
doi = {https://doi.org/10.1145/3589334.3647982}
}