Abstract: A community-imbalanced graph refers to a graph containing multiple communities with large differences in node and edge scales. Graph sampling is a widely used graph reduction technique to ...

1 Department of Civil and Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan 2 James Watt School of Engineering, University of Glasgow, ...

I noticed that when the kvcache is allocated and CUDA graph is enabled, it occupies significant GPU memory during both forward propagation and sampling. However, in gpuworker.py, the function ...

Abstract: When distribution shifts occur between testing and training graph data, out-of-distribution (OOD) samples undermine the performance of graph neural networks (GNNs). To improve adaptive OOD ...

The Commission on Elections (Comelec) has allowed candidates and their supporters to distribute sample ballots ahead of the May 12, 2025 national and local elections. Comelec chairman George Garcia ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

In the second part of his video interview with Pharma Commerce Editor Nicholas Saraceno, Mark Jara, founder and CTO, RxS, explains the value of an online portal that offers logistics flexibility. In a ...

In the first part of his video interview with Pharma Commerce Editor Nicholas Saraceno, Mark Jara, founder and CTO, RxS, describes the progression of the sample distribution process. In a video ...

The U.S. Treasury yield curve officially exited its prolonged inversion on Friday, Sept. 6. This marks the end of over two years when short-term yields were higher than those on long-term bonds — a ...

Walmart said Wednesday that it will open five automated distribution centers for fresh food across the country, as the retailer chases efficiency and its online grocery business grows. The ...