Skeleton-based Graph Convolutional Networks (GCN) for human action and interaction recognition have received considerable attention of researchers due to its compact and view-invariant nature of skeleton data. However. the static skeleton graph topology in conventional GCNs does not reflect the implicit relationships of non-adjacent joints. which contain vital latent information for a... https://www.soiebiologique.com/limited-price-Test-Evaluation-Command-ACU-Patch-Foliage-Green-flash-choice/