Graph Neural Networks Beyond Time Series: How Graph Neural Networks Revolutionize Enterprise Demand Forecasting Discover why traditional time series isn't enough for complex demand forecasting. Learn how Graph Neural Networks (GNNs) leverage relational data to deliver more accurate predictions, reduce costs, and optimize operations for modern enterprises.
AI recommendations Unlocking Scalable AI Recommendations: How a Neuro-Symbolic Framework Cuts Costs and Boosts Speed by 99.9% Discover TAG-HGT, a groundbreaking AI framework tackling the "cold-start" problem in recommendations. Achieve over 90% accuracy with 99.9% cost reduction and 450,000x faster inference, making advanced AI practical for global enterprises.
Graph Neural Networks Revolutionizing AI with Deep Graph Neural Networks: Solving Over-smoothing and Enhancing Insights Explore how Manifold-Constrained Hyper-Connections (mHC-GNN) overcome critical limitations in Graph Neural Networks, enabling deeper, more powerful AI for complex business challenges.