Data storage systems have been refined over the years to provide a stable platform onto which organizations can dump their ...
Markdown has been readable by machines since 2004. OKF adds structure and relationships. Together, they're the foundation ...
This repository is the official implementation of "DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models" accepted by the Main Technical Track of the 39th ...
Amazon's new cloud infrastructure, known as resilient network graph (RNG), claims to be faster, cheaper, and less ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Why every eCommerce platform needs a knowledge graph: better search, smarter recommendations, and AI-powered enterprise ...
Structural biology has long been a leader in open data culture; the Protein Data Bank (PDB), Electron Microscopy Data Bank (EMDB), and Biological Magnetic ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
Abstract: Hyperspectral images (HSIs) are vital for scene analysis, as they capture detailed spatial and spectral information to characterize surface materials. However, accurate HSI classification is ...
Abstract: The mapping of T-cell-receptors (TCRs) to their cognate peptides is crucial to improving cancer immunotherapy. Numerous computational methods and machine learning tools have been proposed to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results