While machine learning has improved detection, most models fail when confronted with attack scenarios they have never seen before, because they learn data patterns rather than the underlying physics ...

Sub-headline: HUST researchers systematize SNA methods, building an evolutionary taxonomy based on graph representation ...

Abstract: Graph convolutional networks (GCNs) can quickly and accurately learn graph representations and have shown powerful performance in many graph learning domains. Despite their effectiveness, ...

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Abstract: Accurate and real-time traffic forecasting plays an important role in the intelligent traffic system and is of great significance for urban traffic planning, traffic management, and traffic ...

Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...

2026/06/02: add fixes and troubleshooting notes for open GitHub issues: safe FPS indexing during test, corrected Hausdorff calculation, more robust CGAL evaluation compilation/P2F handling, HDF5 ...

PyTorch version should be 0.3! For PyTorch0.4 or higher, the codes need to be modified. Now we have updated the code to >=Pytorch0.4. A new model named AAGCN is added, which can achieve better ...

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...