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...
| Main Authors: | , , , , , |
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| 其他作者: | |
| 格式: | Journal Article |
| 语言: | English |
| 出版: |
2022
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| 主题: | |
| 在线阅读: | https://hdl.handle.net/10356/163625 |