A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a 12.02× improvement in runtime efficiency, while using only 22.24% of ...

To tackle this problem, we present a Graph-enhanced multi-scale Contrastive Learning framework for Anomaly Detection, GCLAD. In this framework, we design a diffusion probabilistic model-based graph ...

Despite its computational advantages offered by GPUs in GNN training, the limited GPU memory capacity struggles to accommodate large-scale graph data, making scalability a significant challenge for ...

There is little evidence in the literature of the effectiveness of AFOs in children with CP, and the variability in different studies makes it difficult to compare the results. [8,16,17] This is a ...

2nd Department of Neurology, Institute of Psychiatry and Neurology, Warsaw, Poland Neurological Rehabilitation Ward, Institute of Psychiatry and Neurology, Warsaw, Poland ...

The Bristol Stool Chart is used to assess your stool (poop) and determine whether the shape, color, and consistency suggest a health issue. Normal stool is in the middle of the chart, in the 3 to 4 ...

Secondary outcome measures include the Wolf Motor Function Test, the Modified Ashworth Scale to assess spasticity in the affected arm and the Stroke-Specific Quality of Life Scale. A mechanistic ...