PIANO: influence maximization meets deep reinforcement learning

PIANO: influence maximization meets deep reinforcement learning

Since its introduction in 2003, the influence maximization (IM) problem has drawn significant research attention in the literature. The aim of IM, which is NP-hard, is to select a set of k users known as seed users who can influence the most individuals in the social network. The state-of-the-art al...

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Bibliographic Details
Main Authors: Li, Hui, Xu, Mengting, Bhowmick, Sourav S., Rayhan, Joty Shafiq, Sun, Changsheng, Cui, Jiangtao
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Deep Reinforcement Learning
Graph Embedding
Online Access:https://hdl.handle.net/10356/163625

Internet

https://hdl.handle.net/10356/163625

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