Abstract: 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 ...
ISC2 released a 30-minute primer on the cybersecurity implications of quantum computing. If you want to dig deeper, there are ...
Abstract: Graph convolution networks (GCN) are increasingly popular in many applications, yet remain notoriously hard to train over large graph datasets. They need to compute node representations ...
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