Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

Abstract: As the processing of large-scale graphs on a single device is infeasible without partitioning, graph partitioning algorithms are essential for various algorithms and distributed computing ...

Abstract: Graph-to-text generation for specialized tasks, such as scientific abstract generation, is challenging due to the limited availability of structured knowledge graphs and the need to balance ...

GenAI adoption is accelerating across the enterprise, but business value is lagging behind. The limitation is not model intelligence, but missing context. Download this special report to learn how ...

computational-qr treats a QR code not merely as a URL shortener but as a computational artifact: a self-contained, portable unit of logic, data, and visualisation. Concept What it means in this ...