End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance” was published by researchers at KAIST, Panmnesia ...

近日，数据科学学院于彬教授团队在人工智能驱动药物发现研究领域取得重要进展，相关成果以“MTEGDRP: Interpretable Molecular Self-Attention Transformer and Equivariant Graph Neural Network Based on Multi-Omics Fusion for Drug Response Prediction in ...

A review by researchers at Tongji University and the University of Technology Sydney highlights the powerful role of Graph Neural Networks (GNNs) in exposing financial fraud. By revealing intricate ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...