Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...
University of Virginia School of Medicine scientists have developed a bold new approach to drug development and discovery ...
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 ...
Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...
Scientists at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a model capable of ...
The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...
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