Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

Abstract: Entity resolution is an important task in data integration and data cleaning. This study explores how graph-based techniques can address the challenges of data availability and label quality ...

The annual Social Security COLA is based on a specific measure of inflation from July, August, and September. The first data point might have come in lower than expected, but experts still predict a ...

Abstract: Although graph neural networks based methods can solve the uneven text length problem of text classification datasets, they are difficult to address the data sparsity problem of short texts.

Google Research has unveiled a groundbreaking method for fine-tuning large language models (LLMs) that slashes the amount of required training data by up to 10,000x, while maintaining or even ...

Is your feature request related to a problem? Please describe. There are currently two ways to store 2.5D data (points, images, labels) in a SpatialData object (as far as I can tell): Option 1. one 3D ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

The growing availability of spatial transcriptomics data offers key resources for annotating query datasets using reference datasets. However, batch effects, unbalanced reference annotations, and ...

What’s the most important performance metric when you’re looking at new irons? In this era of ubiquitous launch monitors, it’s easy to get excited about things ...