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Hume Resources

Understanding the Remarkable Effectiveness of Convolutional Graph Neural Networks with GraphSAGE

Explore how convolutional graph neural networks (CNNs) generate highly effective graph representations, particularly when leveraging the Stanford GraphSAGE framework. Also

The Exceptional Value of Graph Embeddings

The world of graph embeddings is valuable but complex. Find out how to generate and then apply these graph embeddings

What is the Order of Steps in Natural Language Understanding? 7 Step Guide

In today’s data-driven landscape, information is collected in mass quantities. From transactions, to server logs, to comments on social media.

Bloomberg Terminal and 3 Ways Graph Database Could Improve It

Why Bloomberg Terminal and Graph database? Our Neo4j consulting and Graph data science experts come up with novel and valuable

Natural Language is Structured Data

So what do we mean when we say natural language is structured data? In today’s interconnected, data-driven world data is

What Is a Knowledge Graph? Powering Business With Graphs

What Is a Knowledge Graph? The question: what is a knowledge graph? is hotly debated because it’s still an emerging

National Government Consultancy Combines Domo BI/Analytics & Graph Database to Stop PPP Fraud

The Challenge Unfortunately, any time there is a crisis, there are those who would try to take advantage of the

How to use bolt protocol to access your Neo4j Database – bolt://localhost:7687

It seems like the question of how to use the bolt protocol (or HTTP) with Neo4j is super common amongst

How to Use Hume Node Grouping (Hume Features Video #1)

Check out this first video in our Hume Platform (Neo4j-powered graph insights engine) capabilities exploration where we show Node Grouping within Hume to learn new things from large amounts of data using Graph-powered insight.

What is Text Analytics? (And How Graph Databases Can Help)

As a developer or analyst you may have heard the phrase “text analytics” but not know exactly what it is

Application-Driven Graph Schema Design, Demystified

While graph databases like Neo4j are schemaless by default, we should still leverage the power of schemas in development by

Leveraging Dimensionality for Graph-Based Recommendations with Sparse Data

Video of online presentation from Will Evans, Graphable’s VP of Strategy & Innovation, presenting at Neo4j Nodes2020. The presentation…

[PR] Graphable Announces GraphAware Hume Platform R&D Center

Check out the guest blog post on GraphAware.com regarding this important Hume announcement: https://graphaware.com/graphaware/2019/07/23/…

What Is a Recommendation Engine? Knowledge Graphs and the Hume platform

Our previous blog article highlighted the critical advantages of knowledge graphs. Being flexible by nature, they easily relate connected…

Use Case For Contact Tracing Graph Database

Whether it’s COVID-19 or a future pandemic, contact tracing is a critical feature of slowing and stopping infectious diseases from