neunms/Reinforcement-learning-on-graphs-A-survey
This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.
This collection of academic papers helps researchers understand the intersection of graph mining and reinforcement learning (GRL). It takes a dispersed set of studies across various domains and presents them in a unified way, providing a comprehensive overview. The output is a categorized list of research papers, useful for scholars entering or specializing in this rapidly developing field.
196 stars. No commits in the last 6 months.
Use this if you are a researcher or scholar looking to understand the current landscape and applications of Reinforcement Learning on Graphs.
Not ideal if you are looking for an implementation-ready library or a direct solution for a business problem rather than academic research.
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Nov 29, 2024
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