In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...

Findings presented at the Heidelberg 2025 International SPECTRALIS Symposium — And Beyond suggest detailed structural data could better inform therapeutic targeting and monitoring.

For the first time, the remarkable features of Australia's unique wildlife—from platypus, bilby, kangaroo, koala and emu to mammals gone extinct—are available for all to see, via their bones and ...

No single person can hold all the nuanced information needed to spot patterns and trends across such a vast pool of data. A knowledge graph changes this by creating a structure that allows for ...

we introduce the structure-optimized complex-valued graph contrastive learning network (SCGCLN) for semi-supervised SAR image change detection. Specifically, we explore how to learn effective feature ...

[KDD 2024] In this repository, we present the code of Graph Data Condensation via Self-expressive Graph Structure Reconstruction (GCSR). python==3.7.13 torch==1.13.0 torchvision==0.14.0 ...

By tying our large language models (LLMs) to specific data sources ... This is because the graph database structure naturally clusters similar semantic entities, while providing deeper context ...