Abstract: Social network alignment aims to discover the potential correspondence between users across different social platforms. Recent advances in graph representation learning have brought a new ...
Abstract: This article proposes a quantum spatial graph convolutional neural network (QSGCN) model that is implementable on quantum circuits, providing a novel avenue to processing non-Euclidean type ...
Abstract: Skeleton-based Temporal Action Segmentation (STAS) aims to segment and recognize various actions from long, untrimmed sequences of human skeletal movements. Current STAS methods typically ...
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