Software
Overview
Customer 360
Finance
Fraud Detection
Supply Chain
Software Consulting
Overview
BY INDUSTRY
Financial Services
Retail
Energy
Life Sciences & Health Care
By Solution
Supply Chain
Customer 360
Fraud Detection
Graph Technology
Data Products & ML
Cyber Security
Services and Capabilities
User Research
UX for Complexity
Rapid Prototyping
Connected Toolkits
Custom Software
Product Management
Assessments
Technology Modernization
Software Factory
Custom Developed Training
Resources
Gallery
Blog
Case Studies
Demos
Lightning Talks
Webinars
Whitepapers
Company
About Expero
Careers
Contact Us
CONTACT US
Thank you!
We got your message and we'll reach out to you shortly.
In the meantime, check out our Gallery!
view our gallery
Something went wrong while submitting the form, please try again!
Share
Online Seminar
Data Day Texas: Graph Convolutional Networks For Node Classification
Tags:
Graph Technology
Summary:
A method of classifying nodes in an information network by application of a non-Euclidean convolutional neural network
Applications for GCNs
Graph embeddings
GCN in practice
Presented By
No items found.
Related Content
Lightning Talk
Transportation, Auto & Infrastructure
Risk Based Characteristics
Varied Infrastucture
Risk Scoring
Time-Series Forecasting
Online Seminar
What are Graph Databases and Why Should I Care?
Introduction to graphs
Make sense of the graph ecosystem
The practical aspects of the graph ecosystem
Why you should care about graph databases
Demo
Entitlements & ID Management Demo
Super User View
Historical Data
Fraud Avoidance
Master ID Recognition
CASE Study
Tasktop
Expero created a novel user experience for the new web-based platform that has far exceeded Tasktop’s user adoption goals!
Blog
The Three Paradigms of GraphML
The three types of graph machine learning (graphML) are smart data extraction, data structure analysis, and full graphML. This article explains all three.
More About
Graph Technology
>
Subscribe to our quarterly newsletter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
