Influence Maximization via Graph Neural Bandits-Reference-Cited by-同舟云学术

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Influence Maximization via Graph Neural Bandits

Published:2024-08-24 Issue: Volume:12 Page:771-781
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Feng Yuting¹^ORCID,Tan Vincent Y.F.²^ORCID,Cautis Bogdan³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering (ECE), National University of Singapore, Singapore, Singapore

2. Department of Mathematics, Department of ECE, National University of Singapore, Singapore, Singapore

3. CNRS LISN, University of Paris-Saclay, Orsay, France

Funder

Singapore Ministry of Education (MOE) Tier 2

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671983

Reference41 articles.

1. Reinforcement Learning with Immediate Rewards and Linear Hypotheses

2. Yikun an, Yuchen Yan, Arindam Banerjee, and Jingrui He. 2022. EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. In Proceedings of International Conference on Learning Representations.

3. Local Clustering in Contextual Multi-Armed Bandits

4. Multi-facet Contextual Bandits

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