Silva, both Engineers at Netflix, presented “Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale ...

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 ...

The primary purpose of this study is to present mathematical modeling methods inspired by graph theory operations and logic as a tool to structurally analyze the socio-economic composition of a city ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

SAN FRANCISCO, July 9, 2025 – The Graph, the open, universal data layer for web3, announced today a strategic integration with the TRON blockchain network. This integration leverages Substreams, a ...

This project implements a custom Graph Data Structure in Java to solve two real-world problems involving pathfinding. It avoids external libraries and uses only core Java logic for BFS/DFS-based ...

Abstract: Graph neural network is a new neural network model in recent years, whose advantage lies in processing graph structure data. In the era of big data, people can collect a large amount of ...

Data structure for dynamic connectivity in undirected graphs. Supports adding and removing edges and checking whether two vertices are connected (there's a path between them) in polylogarithmic time.