Silva, both Engineers at Netflix, presented “Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale” at QCon London 2026, where they discussed the design and implementation ...

Abstract: In this study, we present a scalable method for modeling and visualizing large-scale industrial sensor networks using Graph Neural Network (GNN) principles. By applying the K-Nearest ...

This page assumes you are already familiar with the content of Introduction to visualization; in particular, you should already understand the sequence graph representation used. Right now you may be ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms. All of modern mathematics is built on ...

Abstract: The cluster faithfulness metrics CQ measure how faithfully the ground truth clustering of a graph is represented as the geometric clustering in a drawing of the graph. Existing CQ metrics ...

Hi team, I've noticed several UI and UX inconsistencies across the website that affect the overall user experience and visual cohesion. Addressing these would significantly improve the platform's ...

GitHub's Q1 2025 Innovation Graph update highlights trends in software development, emphasizing data visualization and AI's growing impact. GitHub recently released its Q1 2025 Innovation Graph update ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...