Browsing: Graph

In this tutorial, we implement a production-grade, large-scale graph analytics pipeline in NetworKit, focusing on speed, memory efficiency, and version-safe APIs in NetworKit 11.2.1. We generate…

Introduction is the computational task of assigning colors to elements of a graph so that adjacent elements never share the same color. It has applications in…

about the Small-World Experiment, conducted by Stanley Milgram in the 1960’s. He devised an experiment by which a letter was given to a volunteer person in…

In this tutorial, we walk through an end-to-end, advanced workflow for knowledge graph embeddings using PyKEEN, actively exploring how modern embedding models are trained, evaluated, optimized,…

forecasting errors are not caused by bad time-series models. They are caused by ignoring structure. SKUs do not behave independently. They interact through shared plants, product…

in supply-chain planning has traditionally been treated as a time-series problem. Each SKU is modeled independently. A rolling time window (say, last 14 days) is used…

Note 1: This post is part 1 of a three-part series on healthcare, knowledge graphs, and lessons for other industries Note 2: All images by author…