A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

Daisy chains are different. Their signal is structural. What matters is not one transaction, but the sequence. Imagine money ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By ...

CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...

Brain-computer interfaces (BCIs) are advanced and innovative systems that enable direct communication between humans and external devices by utilizing data encoded in the brain activity (Shi et al., ...

Abstract: ResidualGNNPlus is a residue-level Graph Neural Network that reconstructs 39 structural and biochemical features-such as hydrophobicity, SASA, polarity, Secondary Structure data, and ...

Abstract: Effectively capturing complex point cloud information is essential for advanced functionalities in consumer electronics, such as augmented reality, virtual simulations, and 3D printing.