Abstract: Spatiotemporal prediction over graphs (STPG) is crucial for transportation systems. In existing STPG models, an adjacency matrix is an important component that captures the relations among ...

Data exploration, usually the first step in data analysis, is a useful method to tackle challenges caused by big geoscience data. It conducts quick analysis of data, investigates the patterns, and ...

Background: With the rapid advancement of gene sequencing technologies, Traditional weighted gene co-expression network analysis (WGCNA), which relies on pairwise gene relationships, struggles to ...

Adjacency is one of those slightly obscure features inCivilization 7 that doesn't get much explanation in the game, but is actually one of the most complex and important parts of city planning. If you ...

Aspect-oriented sentiment analysis is a meticulous sentiment analysis task that aims to analyse the sentiment polarity of specific aspects. Most of the current research builds graph convolutional ...

Impact Statement: When utilizing graph neural networks, it is often the case that the weight relationships between nodes are not well understood. This is particularly true in the context of using ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

1 Statistics Research Division, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung, Indonesia 2 Undergraduate Program in Mathematics, Faculty of Mathematics and Natural ...

Super Micro Computer will replace Walgreens in Nasdaq 100 on July 22nd. Famed investor Jim Cramer says SMCI is an adjacency to NVDA. Supermicro stock has gained more than 200% since the start of 2024.