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 to build and construct recommendation systems using graphs by following this Google BigQuery demo with gdotv.
Learn how graph-on-relational engines work in 2026: PuppyGraph, SQL:2023, ISO GQL, hyperscalers, and Prometheux. A deep dive into the category.
Connect gdotv to Apache AGE and explore your graph visually: schema view, Cypher and SQL editor, graph visualization, no-code explorer, WYSIWYG editing.
Load data into Apache AGE with agload or Postgres staging tables and Cypher UNWIND. Walks through the air routes dataset with focus on property types.
Run Apache AGE locally with Docker, plus a map of cloud Postgres support: Azure, EnterpriseDB, HorizonDB, AWS RDS, GCP Cloud SQL, Supabase, Snowflake.