Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting
Why modeling SKUs as a network reveals what traditional forecasts miss The post Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting ap...
Why modeling SKUs as a network reveals what traditional forecasts miss The post Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting ap...
Technical Challenge: Transformer-based Temporal Reasoning with Memory-Augmented Graph Attention In this challenge, we will tackle a novel problem in temporal r...
Overview Imagine a map of friends, streets, or web pages where each dot links to others—that is a network. Scientists proposed a simple idea: create two slight...
Overview Most smart machines have become amazing at processing photos and sound because those data types have clear patches and layers. However, text, genes, a...
Overview Imagine a web of friends or a tangle of research papers. A computer can quietly learn the shape behind that web without being told what’s right. The m...
Scenario Imagine you are tasked with developing a temporal graph neural network to predict the traffic congestion level in a city's road network over the next...