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} }