Google & J.P. Morgan Propose Advanced Bandit Sampling for Multiplex Networks

https://syncedreview.com/2022/02/10/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-203/

Google & J.P. Morgan Propose Advanced Bandit Sampling for Multiplex Networks | Synced Graph neural networks (GNNs) have gained popularity in the AI research community due to their impressive performance in high-impact applications such as drug discovery and social network analyses. Most existing studies on GNNs however have focused on "monoplex" settings (networks with only a single type of connection between entities) and not on multiplex settings (multiple syncedreview.com