What’s the secret to prompting an AI to solve math problems that have left humans stumped? Tell it to believe in itself ...
Diffusion-Augmented Spatiotemporal Graph Convolution for Clinical Gait and Motor Function Assessment
Abstract: Accurate assessment of gross motor function in children with cerebral palsy (CP) is essential for clinical decision-making, yet current practice is limited by data scarcity, severe class ...
Tracing product flow Analyzing supplier dependencies Tracking supplier risks and dependency chains Understanding APIs (Active Pharmaceutical Ingredient) dependencies and connections Identifying risks ...
Abstract: Graph Convolutional Networks (GCNs) have been widely studied for attribute graph data learning. In many applications, graph node attributes/features may contain various kinds of noises, such ...
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