Introduction to GraphSAGE in Python by @maximelabonne via @TDataScience

Scaling Graph Neural Networks to billions of connections.

I like this which is very clear and easy to use and understand. Great code examples.

WEBINAR: Register for the 2021 Fall Graph + AI Summit - 5th and 19th October 2021

 

Sponsored News from Data Science Central Graph + AI Summit Fall - October 2021 The Graph + AI Summit is focused on accelerating analytics, AI, and machine learning with graph algorithms. The Fall Summit returns October 5 from San Francisco and October 19 from New York (in-person attendance by nomination). Sessions and keynotes will be streamed live on each date with online content and workshops available in between.   The Graph + AI Summit held this spring attracted 7,000 attendees from 74 countries. Data scientists, data engineers, architects, and business and IT executives from over 182 of the Fortune 500 companies participated in April's event. Speakers included experts from JPMorgan Chase, New Day, Intuit, Amazon, Exact Sciences, Jaguar Land Rover, Pinterest, Stanford University, Forrester Research, Accenture, Capgemini, KPMG, Intel, Dell, and Xilinx, along with many innovative startups. The Graph + AI Summit Fall 2021 roster will feature many of these thought leaders along with new speakers from the world’s largest companies across all industries. Rita Sallam Distinguished VP Analyst and Gartner Fellow at Gartner Research will deliver the opening remarks at Graph + AI Summit, San Francisco, on October 5. Mrs. Sallam's focus includes tracking and predicting market trends, vendor assessment and selection, and identifying best practices for making analytics pervasive and strategic to the business.  Dan McCreary, Distinguished Engineer in AI and Graph at Optum (a division of UnitedHealth Group) will present an overview of key use cases combining Graph with machine learning to find similar patients and improve provider recommendations for over 50 million customers.  Gautam Gupta, Technology Leader focused on AI, ML, Data Science, and Cloud at Intuit Corporation will share how AI-based customer 360 has boosted fraud detection by 50% and is powering entity resolution and personalized recommendations for Intuit's customers.  Join us in October and level-up your knowledge as a data scientist, engineer, architect, or business executive with sessions covering: Graph case studies in three industry tracks: Banking, Insurance, and Fintech Technology, Advertising, Media, and Entertainment Healthcare, Life Sciences and Government Hands-on workshops and technical breakout sessions for the integration of graph algorithms into your Analytics and AI projects Certification on graph algorithms for machine learning Enterprise-ready visualization dashboards that integrate AI with your graph-based solutions Secure your complimentary virtual registration and learn more about in-person attendance and speaking submissions:

WEBINAR: Knowledge Graph and Machine Learning: 3 Key Business Needs, One Platform 16 December 2020

 

Data Science Central Webinar Series Event

Knowledge Graph and Machine Learning: 3 Key Business Needs, One Platform Join us for this latest DSC Webinar on December 16th, 2020 The COVID-19 pandemic has accelerated the pace of digital transformation across all industries. Organizations are looking for ways to accelerate their analytics, AI and machine learning projects to increase revenue, manage risks and improve customer experience especially for online channels. Knowledge Graphs combined with machine learning are driving three key data science capabilities to deliver the business outcomes organizations need: Connect internal and external datasets and pipelines with a distributed Graph Database Analyze connected data for never-before insights with Advanced Analytics Learn from the connected data with In-Database Machine Learning Join us for this latest Data Science Central webinar as we share design considerations and deployment best practices from these case studies by combining knowledge graphs with machine learning. Speaker: Dr. Victor Lee, Head of Product Strategy and Developer Relations - TigerGraph Hosted by: Kurt Cagle, Community Editor - Data Science Central   Title:  Knowledge Graph and Machine Learning: 3 Key Business Needs, One Platform Date:  Wednesday, December 16th, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

Graph databases gaining in popularity, but confusion still clouds market by Bob Violino via @infomgmt

There is still uncertainty about many products, in part caused by the many vendors of other types of database management systems that offer some graphical support features.

This is still not a simple and clear area but I think if you find the right problem then a graph database if a great thing that will be able to give you real benefits.

Finding Needles in a Haystack With Graph Databases and Machine Learning by Gaurav Deshpande via @DZone

Learn how the author used machine learning to train an algorithm that can identify phone callers as fraudsters, pranksters, or salespeople.

I find this interesting and well worth thinking about.

Graph databases and machine learning will revolutionise MDM strategies by Aaron Zornes via @infomgmt

These technologies will become widely adopted in 2018 and 2019, and will augment master data management and data governance to provide increased agility and scalability.

Anything that enhances and improves the understanding of data gets my vote. It is crucial to the production of correct results in any system or reporting that the data and relationships between that data are understood so that any results can be trusted 100%

WEBINAR: Say goodbye to the old ways of Master Data Management and embrace the future - 10th April 2018

Web Seminar  Make way for the agile single customer view: 
Say goodbye to the old ways of Master Data Management 
and embrace the future

Apr. 10, 2018 | 2 PM ET/11 AM PT
Hosted by Information Management

Did you get burnt? Are you one of the thousands that implemented MDM, only to find it too rigid, 

inflexible and ultimately failing to meet business expectations? Reboot your thinking, apply Graph and uncover the relationships between people, places and things.Join our webcast to learn about a new approach 

to mastering customer information. The agile Single Customer View helps organizations 

start fast and understand customers without replacing existing technologies.

Andrew Chumney Single View Solutions Manager Pitney Bowes (Presenter)	Aaron Zornes Chief Research Officer The MDM Institute (Moderator)

Sponsor Content From:

Register here

WEBINAR: Gain more agility, context and business insight with graph-based MDM - 15 Feb 2018

Web Seminar  Gain more agility, context and business insight with graph-based MDM

Feb. 15, 2018 | 2 PM ET/11 AM PT
Hosted by Information Management

Businesses continue to collect volumes of information about their customers. 

When organised effectively - by integrating data from a variety of different sources 

through enterprise master data management (MDM) - this data can provide 

important and actionable buyer insights.

Some are tackling this challenge with a relational database approach to MDM, 

which limits what businesses can do, and how quickly they can do it.

Join this webcast to learn about developing a more agile MDM strategy 

around Graph databases to better serve business needs.

In this webcast, you will learn how to:

• Gain the flexibility you need to pull answers from a full range of customer information
• Add and remove new data sources quickly
• Identify new connections in data
• Explore connections that previously would not have been obvious
• Add Graph technology to connect more traditional relational databases - effectively create a “hub of hubs”

This flexibility and modern approach to data offers a number of unique, 

cross-vertical use cases, including sales optimization, fraud detection, 

anti-money laundering (AML), customer support, and more.

Join this webcast to learn about the power of knowledge graphs for a 

full 360-degree view of your customers, no matter where or how they are interacting with your enterprise organisation.

Sponsor Content From:

Register here

WEBINAR: Proactive Compliance: Applying virtualised Graphs to address the challenge of GDPR - 16 Jan 2018

Web Seminar  Proactive Compliance: Applying virtualized Graphs to address the challenge of GDPR

Jan. 16, 2018 | 2 PM ET/11 AM PT
Hosted by Information Management

Data governance requirements such as the relatively new General Data Protection

 Regulation (GDPR) for enterprises doing business with Europe are driving a need 

to better understand customer data assets and where they reside within the organization. 

Businesses are collecting mountains of personal data about their customers that, when 

organized effectively, offers the potential to reduce regulatory and compliance risk and expenses.

Many organizations store information in data warehouses, MDM hubs or more recently, data lakes. 

However, with such systems collecting hefty streams of data on a daily basis, wading through and 

determining what information is relevant for compliance initiatives such as GDPR is a daunting task.

A key approach is to develop an agile single view solution, understanding relevant data 

assets and their quality and suitability for purpose. Clearly, the ability to collaborate on 

whiteboard style models with maps of existing data assets to these models, and an 

ability to profile directly against these models to evaluate their relevance is key. A 

complete solution based around Graph provides a natural way to model these requirements 

and understand the Enterprise Metadata Graph.

In this webcast you will learn how to:

• Adopt a proven approach that develops an agile single view & enterprise metadata management strategy around Graph databases.
• Deliver a model that is far quicker to implement & more agile than prior IT capabilities
• Enable governance of key data assets such as customer data with an eye towards key business drivers such as GDPR.

Aaron Wallace Principal Product Manager Pitney Bowes (Presenter)	Aaron Zornes Chief Research Officer The MDM Institute (Moderator)

Sponsored By:

Register here

Fraud detection in retail with graph analysis by Jean Villedieu via @Analyticbridge

Fraud detection is all about connecting the dots. We are going to see how to use graph analysis to identify stolen credit cards and fake identities.

This is great and we can only hope that others are doing something similar to this in order to help us all avoid fraud.

Graph Databases Help Companies Unlock Connections Within Their Data by Tom Smith via @DZone

Once you become familiar with graph databases, you’ll expand your view of how to ingest and analyse unstructured data at speeds you cannot imagine.

This is in the form of an interview with Jim Webber, Chief Scientist at Neo4j. Really interesting.

WEBINAR: Do the graph: Achieving next-gen MDM - 29 June 2017

Do the graph: Achieving next-gen MDM

Jun. 29, 2017 | 3 PM ET/12 AM PT
Hosted by Information Management

The value proposition for Master Data Management is well known, and many organizations have improved their sales, marketing and operations with effective solutions. But the old way of doing MDM was hard and costly. The new way of doing MDM involves graph technology, which greatly expedites time to value. How does this technology work, and what can it do for your company? Check out this episode of IM Live to find out! Host Eric Kavanagh will interview several MDM experts in this live, interactive roundtable webcast!

Eric Kavanagh CEO Bloor Group (Host)	Dr. Robin Bloor Chief Analyst The Bloor Group

Sponsor Content From:

Register here

WEBINAR: Graph-based MDM: Why relational DBMS aren't relational enough - 25 April 2017

Web Seminar  Graph-based MDM: Why relational DBMS aren't relational enough

Apr. 25, 2017 | 2 PM ET/11 AM PT
Hosted by Information Management

Success increasingly depends on your ability to discern customer needs, preferences, and buying behaviors through data that’s ever more diverse and voluminous. MDM is supposed to help you with this digital transformation. But conventional MDM may not deliver the full contextual insight your business stakeholders need.

Attend this eye-opening webinar to learn how graph/NoSQL databases dramatically enhance MDM—empowering you to out-analyze, out-decide, and out-innovate the competition.

Our expert MDM thought-leaders will show you:

• How graph/NoSQL models uncover complex, subtle relationships between disparate data
• Why less MDM structure can yield major advantages in analytics and decision-making
• How graph technology can reduce your need for high-cost data science skills

Don’t get left behind as MDM technology keeps evolving to meet the relentlessly growing data demands of the digital enterprise. Sign up today!

Featured Presenters:

Moderator: Lenny Leibmann Contributing Editor SourceMedia

Sponsored By:



Register here

7 Steps to Understanding NoSQL Databases by Matthew Mayo via @kdnuggets

Are you a newcomer to NoSQL, interested in gaining a real understanding of the technologies and architectures it includes? This post is for you.

This is incredibly useful and a great overview.  Recommended.

WEBINAR: GraphDB Fundamentals: Transforming your Graph Analytics with GraphDB - 7 April 2016

Thursday, April 7, 2016
11am ET | 10am CT | 8am PT | 16:00 UTC

Approximately 2 hours long

---

Agenda ET

11:00am – 11:30am Foundation of Graph Analytics plus Q&A 
11:30am  – 1:00pm Utilizing GraphDB for your graph analytics needs

---

Graph Analytics are a critical component in supporting business strategy. They can help you target content with pinpoint accuracy, identify potential new lifesaving treatments, flag possible fraudulent activities and predict future behavior.

In this webinar, Dr. Arthur Keen, Founder of Keen Analytics will discuss the foundations of graph analytics and the use of GraphDB™ to meet your analytic requirements. Vassil Momtchev, Ontotext Chief Solution Architect will also be on hand to answer questions. They will work on GraphDB™ from Ontotext which is created with the purpose to innovate enterprise analytics and provide you with the strategic advantage your organization needs to get a competitive edge.

If your wish to learn more on the topic here are the topics that will be addressed :

• What is a RDF graph data model and how it can be used for agile data integration and management
• What is SPARQL and how it can be used for querying and managing RDF data graphs
• What are RDFS and OWL (Ontology Web Language) and how they can be used for semantic data modeling as well as creating ontologies or vocabularies for describing data graphs
• Installing, configuring and fine tuning GraphDB database as well as loading data in the system
• Working with a GraphDB Workbench (graphical front-end for managing RDF graph data and databases)
• What are the various reasoning strategies, that RDF graph databases employ to derive new facts and enrich knowledge graphs
• What are some distinguished performance optimizations of the GraphDB database
• What are the various GraphDB extensions for full-text search.
• Working with geo-spatial data, and performing fast analytics over large RDF graphs
• Troubleshooting guide (most common question and their solutions)

Register here

WEBINAR: Industry Practitioners Discuss the Merits of Graph-Based MDM - 3 March 2016

Industry Practitioners Discuss the Merits of Graph-Based MDM

Complimentary Web Seminar
March 3, 2016
2 PM ET/11 AM PT
Brought to you by Information Management

Customer data is at the core of all business processes. The promise of MDM is to provide a framework for that customer data to be considered a reusable asset for achieving a “consistent view.” Despite a high degree of importance, CIOs ̶ and more recently CDOs ̶ have struggled to demonstrate the value and justification for continued effort behind MDM programs given historically costly, lengthy timelines and limited insights. The introduction of a graph-based MDM, however, is helping a growing number of companies across different industries to leapfrog the inherent challenges found in more traditional MDM approaches and deliver contextually relevant views back to the business inside all systems of engagement and interactions.

Attend this roundtable discussion with industry practitioners as they discuss the merits of graph-based MDM, describe how it is different and take your questions.

In this webinar you’ll learn:

• What is a graph database and what makes it different from other databases
• How graph-based MDM is not only quicker to stand up, but can help deliver richer insights back to the business for better ROI
• Real-life use-cases and war stories from industry practitioners who’ve implemented both traditional MDM solutions and graph-based MDM

Register here

The Graph Database Comes Into Its Own via @infomgmt

The Graph Database Comes Into Its Own by Emil Eifrem on +Information Management  - For those of us in the field, we know graphs are long overdue mass attention, but we also know CIOs have been quietly taking advantage of them for some time.

A look at something we all know has been coming for a while. I guess this article means it is becoming more mainstream.

WEBINAR: Choosing the Right Graph Database to Succeed in Your Project - 25 February 2016

Thursday, February 25, 2016    

8 am PT | 11 am ET | 4pm GMT

There are different graph databases both as functional, as well as deployment capabilities. And the choice you make at the beginning may affect the success of your project at the end.

This webinar will focus on the five most important criteria you should consider:

1. What benefits can the graph database bring to your project - Typical use cases and most optimal data management solutions 

2. What kind of data can be stored in it - Data modelling and third party datasets

3. How do you want to explore your data - Query and visualization capabilities

4. How does the database fit into your system - Integration, scalability and tools

5. Who will manage your database - Deployment, support, upgrade and infrastructure

At the end of this webinar you will walk away with a check-list of what to watch for while choosing a graph database.

Complementary you will get an overview of the typical use cases of semantic graph databases ( i.e. heterogeneous data integration and “360 view” of enterprise data, information discovery, content enrichment and metadata management), and a map for a safe choice between flavours of one of the leading semantic graph databases – GraphDB by Ontotext – from free edition and single-node deployments to high-availability clusters and fully managed database-as-a-service in the Cloud.

Don’t miss the opportunity to be a part of this live event where you can submit your own questions and hear from one of the pioneers in Smart Data analytics.

Register here

3 great graph database blog entries around the subject of fraud from @Neo4j

3 great graph database blog entries around the subject of fraud from the team at +Neo4j - the World's Leading Graph Database -

First party bank fraud - linking people via addresses, phone numbers, accounts is just not possible in a standard hierarchical database.  I've seen for myself the duplicates that can exist in a data warehouse when you load all your order management data. The different spellings, the duplicate addresses, etc. Bringing it all back to the one address, as an example) can be a major undertaking.

Insurance fraud - how a graph database can be used to map out the relationships between people and claims - I believe this can be done much earlier in the process now using a graph database as opposed to waiting for complicated analytics.

E-commerce fraud - how a graph database can be used efficiently to detect fraud - something that in the past has been rather slow and clunky.

Microsoft's Graph wants to turn user data into business intelligence it can sell via @pcworld

How does data become information? Through context. And that’s what Microsoft’s new Microsoft Graph aims to do: Collect data points about you, then turn around and sell it to apps and services–with your permission, of course.

Interesting article from PCWorld.