Building a Property Graph Pipeline from the TEG Benchmark: Part 3 – Exploring with gdotv
Explore four queries in gdotv against TEG-DB show what edge text enables: sentiment polarity, citation chains, and contradictions invisible to graph topology.
Explore four queries in gdotv against TEG-DB show what edge text enables: sentiment polarity, citation chains, and contradictions invisible to graph topology.
Load TEG-DB CSV files into Amazon Neptune via the bulk loader API, connect gdotv with IAM auth, and verify the loaded graph with Gremlin.
Find out how to build a property graph pipeline converting the TEG-DB graph benchmark from PyTorch Geometric pickles into AWS Neptune import-ready CSV files.
Follow this walk-through to see how you can import data from your S3 bucket into your AWS Neptune cluster, and see the results in gdotv!
Find out how Kuzu pioneered embedded graph databases, their legacy, how LadybugDB carries the project on, and where you should look next.
Learn how graph-on-relational engines work in 2026: PuppyGraph, SQL:2023, ISO GQL, hyperscalers, and Prometheux. A deep dive into the category.
Watch this GraphGeeks chat with Wes Madrigal, CEO & Co-Founder of Kurve, as he discusses automating data discovery using graph traversals and ontologies for AI.
Discover what’s new in graph tech this week, including a new graph query engine for federated GQL, a context graph talk, .NET dev for AWS Neptune and more.
Dive into the world of graph databases with this dev guide using Practical Gremlin (2nd ed.) and gdotv with updated code and data visualization examples.
Watch (or read) this presentation by Christian Miles on the future of graph data visualization in the world of LLMs – inspired by his talk at Data Day Texas.