Tag
Amazon Neptune
Explore Amazon Neptune setup guides, tutorials and news from the gdotv team. Discover how gdotv integrates with it to query, visualize and share your graph.
38 posts
EFFKG Review, Part 3: How to Score Knowledge Graph Referencing Quality
Score referencing quality in a public knowledge graph with RQSS, and see why 4 million EFFKG references resolving to 13 sources prove less than they look.
EFFKG Review, Part 2: 4 Queries That Expose the Fishing Fleet Graph
Explore the European Fishing Fleet Knowledge Graph with 4 SPARQL queries that return graphs instead of tables, and find where its structure runs out.
EFFKG Review, Part 1: How to Query the Fishing Fleet Knowledge Graph
Learn how to reach the European Fishing Fleet Knowledge Graph via its public SPARQL endpoint and an AWS Neptune import, and why the two copies disagree.
gdotv Adds Multi-Graph Connections & Automatic Data Models [v3.74.142 Release Notes]
Discover multi-graph connections in gdotv v3.74.142: move between graphs, datasets and repositories on one connection, with data models that load themselves.
The Weekly Edge: Fraud Graphs, Neo4j’s GraphTalk, GFQL’s Polars Support, & More
Discover this week’s graph technology news: Santander’s fraud-graph repo, Neo4j’s GraphTalk recap, GFQL’s Polars support, and AWS’s GraphRAG walkthrough.
The Weekly Edge: gdotv on Apache TinkerPop Wide Stream, Aerospike Goes Open Source, Information Retrieval Benchmarks & more
Discover what’s new this week in graph technology: Amir dives into the TEG-DB benchmark, Aerospike Graph goes open source, and Neo4j debuts Enterprise Studio.
Pitting gdotv Against AWS Graph-Explorer (LPG)
How does gdotv compare against AWS graph-explorer? Follow along with this deep-dive as we explore the various features of each framework.
Building a Property Graph Pipeline from the TEG Benchmark: Part 4 – A Critical Examination of Text-Enriched Graphs
Read our critical analysis of TEG-DB: seven empirical findings on edge text quality, semantic entropy, and evaluation design gaps in text-enriched graph benchmarks.
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.
Building a Property Graph Pipeline from the TEG Benchmark: Part 2 – Populating the AWS Neptune Graph
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.
Building a Property Graph Pipeline from the TEG Benchmark: Part 1 – From HuggingFace to Structured CSV
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.
Fill Your AWS Neptune Graph with S3 Data
Follow this quick developer walk-through with gdotv to see how you can use the neptune.read() function to call data from your S3 bucket directly into your AWS Neptune cluster.
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