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