近日，西安交通大学杨瑞娜教授团队的研究成果《Eliminating Social Popularity Bias in Recommendation: Causal Inference-Based Social Graph Neural ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...

Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Fine-grained spatial data are critical for informed decision-making in domains ranging from economic planning to ...

Graph theory and computational modeling reveal that neural network architecture biases the male Caenorhabditis elegans brain toward prioritized sexual behaviors.

A universal potential for all-purpose atomic simulations has been pursued for decades, but remains challenging due to limitations in model expressiveness and dataset construction. Now, writing in the ...