Skip to content
START FOR FREE
START FOR FREE
  • SUPPORT
  • COMMUNITY
Menu
  • SUPPORT
  • COMMUNITY
MENUMENU
  • Products
    • The World’s Fastest and Most Scalable Graph Platform

      LEARN MORE

      Watch a TigerGraph Demo

      TIGERGRAPH CLOUD

      • Overview
      • TigerGraph Cloud Suite
      • FAQ
      • Pricing

      USER TOOLS

      • GraphStudio
      • Insights
      • Application Workbenches
      • Connectors and Drivers
      • Starter Kits
      • openCypher Support

      TIGERGRAPH DB

      • Overview
      • GSQL Query Language
      • Compare Editions

      GRAPH DATA SCIENCE

      • Graph Data Science Library
      • Machine Learning Workbench
  • Solutions
    • The World’s Fastest and Most Scalable Graph Platform

      LEARN MORE

      Watch a TigerGraph Demo

      Solutions

      • Solutions Overview

      INCREASE REVENUE

      • Customer Journey/360
      • Product Marketing
      • Entity Resolution
      • Recommendation Engine

      MANAGE RISK

      • Fraud Detection
      • Anti-Money Laundering
      • Threat Detection
      • Risk Monitoring

      IMPROVE OPERATIONS

      • Supply Chain Analysis
      • Energy Management
      • Network Optimization

      By Industry

      • Advertising, Media & Entertainment
      • Financial Services
      • Healthcare & Life Sciences

      FOUNDATIONAL

      • AI & Machine Learning
      • Time Series Analysis
      • Geospatial Analysis
  • Customers
    • The World’s Fastest and Most Scalable Graph Platform

      LEARN MORE

      CUSTOMER SUCCESS STORIES

      • Ford
      • Intuit
      • JPMorgan Chase
      • READ MORE SUCCESS STORIES
      • Jaguar Land Rover
      • United Health Group
      • Xbox
  • Partners
    • The World’s Fastest and Most Scalable Graph Platform

      LEARN MORE

      PARTNER PROGRAM

      • Partner Benefits
      • TigerGraph Partners
      • Sign Up
      TigerGraph partners with organizations that offer complementary technology solutions and services.​
  • Resources
    • The World’s Fastest and Most Scalable Graph Platform

      LEARN MORE

      BLOG

      • TigerGraph Blog

      RESOURCES

      • Resource Library
      • Benchmarks
      • Demos
      • O'Reilly Graph + ML Book

      EVENTS & WEBINARS

      • Graph+AI Summit
      • Graph for All - Million Dollar Challenge
      • Events &Trade Shows
      • Webinars

      DEVELOPERS

      • Documentation
      • Ecosystem
      • Developers Hub
      • Community Forum

      SUPPORT

      • Contact Support
      • Production Guidelines

      EDUCATION

      • Training & Certifications
  • Company
    • Join the World’s Fastest and Most Scalable Graph Platform

      WE ARE HIRING

      COMPANY

      • Company Overview
      • Leadership
      • Legal Terms
      • Patents
      • Security and Compliance

      CAREERS

      • Join Us
      • Open Positions

      AWARDS

      • Awards and Recognition
      • Leader in Forrester Wave
      • Gartner Research

      PRESS RELEASE

      • Read All Press Releases
      TigerGraph Reports Exceptional Customer Growth and Product Leadership as More Market-Leading Companies Tap the Power of Graph
      March 1, 2023
      Read More »

      NEWS

      • Read All News
      The-New-Stack-Logo-square

      Multiple Vendors Make Data and Analytics Ubiquitous

      TigerGraph enhances fundamentals in latest platform update

  • START FREE
    • The World’s Fastest and Most Scalable Graph Platform

      GET STARTED

      • Request a Demo
      • CONTACT US
      • Try TigerGraph
      • START FREE
      • TRY AN ONLINE DEMO

TigerGraph Community: September Updates

  • Emily McAuliffe
  • October 12, 2021
  • blog, Community
  • Blog >
  • TigerGraph Community: September Updates
July 2021 Community Updates

 

Hello TigerGraph Community! Here’s the September Developer Update. So take a five-minute break, grab a snack, and scroll through the topics below. 

Artboard 24

Top News

top tigers

construction-works final

Toolbox

Rad Blogs

tg x schools

Artboard 24

Top News

We’re in the middle of our Graph + AI Summit. Last week, we hosted a live and virtual event in San Francisco with leaders from Gartner, Optum, Dell, AWS, Intuit, and many more! You can watch all the videos here. On the 7th, we hosted a Virtual Academy with topics:

 

  • Graph Data Science Algorithms for  Analytics and Machine Learning
  • Graph Algorithms and Use Cases – A Survey
  • Introduction to the TigerGraph In-Database Graph Data Science Library
  • Using Graph Embeddings and Hardware Acceleration to Fight Financial Fraud and Improve Healthcare Recommendations

 

On the 8th, we had pioneers in Graph explain, The Past, Present and Future of Graph Query Languages, the GQL Standard Panel, why it matters and why you want to be an early adopter. The 12th is our Partner Day, on the 13th we have our Cloud Day with so many interesting topics- like how to use Google Vertex AI and TigerGraph, and on the 14th, all day long, we have a series of Developer Workshops. We’re ecstatic about this because if you go through our Developer Workshop, you’ll get a certificate and learn:

 

All PST: 

  • 7:00 to 7:30 AM: TigerGraph: Welcome + TigerGraph’s Developer Community Overview (🐯 Jonathan Herke 🐯 & Xinyu Chang)
  • 7:30 to 8:30 AM: Introduction in TigerGraph: TigerGraph 101 (Daniel Barkus TigerGraph)
  • 8:30 to 9:30 AM: TigerGraphBest Practices (Design, Schema, Query) (Xinyu Chang)
  • 9:30 to 10:30 AM: TigerGraph and Kubernetes Deployments: Kubernetes and TigerGraph Explained and a hands-on deployment. (Chengjie Qin & Wenbing Sun, TigerGraph)
  • 10:30 to 11:30 AM: Practical Solutions Architecture in TigerGraph (Wyatt Joyner, TigerGraph)
  • 11:30 to 11:45 AM: Break
  • 11:45 to 12:45 PM: Hands-on with the TigerGraph Graph Data Science Library and Python (Parker Erickson, TigerGraph)
  • 12:45 to 1:45 PM: Introduction to TigerGraph & Visualization (Shreya Chaudhary, TigerGraph & Advit Deepak, TigerGraph)
  • 1:45 to 2:45 PM: 101 Full-Stack App w/ TigerGraph (Kevin Hsu, TigerGraph)
  • 2:45 to 3:45 PM: Social Networking and AMA Closing Session (🐯 Jonathan Herke 🐯, TigerGraph)

 

Also, for each session you attend, you’ll get a raffle and at the end, we’ll raffle a Surprise Swag Bag. 

 

Coming up, on the 14th at 6:00 pm EST, you’ll be able to watch WeCloud Data + TigerGraph’s Workshop on Graph’s Influence on the Power Grid Usage in New York: Hands-On Workshop.

 

A few more awesome events to check out: 

  • Super-Powers for Complex Operations with Graph Analytics 
  • Tech Talk w/ TigerGraph – How to use a graph database to find your dream job 

 

Last, we introduced a few of our University Hackathons- we’re excited to announce our winner for our Northeastern Hackathon! Dennis Cheng built out a graph with ramen noodles and you can see his Readme here and watch his video walkthrough here and here.

You can still participate in our San Jose State University and  UCLA hackathons the rest of the month. We have additional hackathons coming up so stay tuned. If your company or university wants to participate, please email [email protected] and let us know. 

 

Top Tigers

This month we’re featuring Deepti Soni, a Consulting Analytics Specialist at Mastech InfoTrellis.

 

Tell us about yourself: 

  1. Where do you work? What do you do? What are your favorite things about your job? I am working as a Senior Data Science and Analytics Advisor in Mastech InfoTrellis. We design and implement AI/ML based algorithms to derive value in our clients’ data when solving their complex business problems. There are many things I love about being a senior data scientist and analytics advisor at Mastech Infotrellis. One of the most important ones is our collaborative environment. We truly have a positive work environment where everybody is there for each other. It’s great to learn from my colleagues, and even more rewarding when I know I’ve helped others in solving challenging first-of-a-kind problems. 

  1. How did you learn about TigerGraph? I first read about TigerGraph in one of the articles published by Gartner on graph databases.

  1. What are some of the use cases you’re using TigerGraph? For many of Mastech Infotrellis’ clients, I am architecting knowledge graph and ML-based models/solutions using TigerGraph for multiple use cases, such as graph-based MDM, anti-fraud, and money laundering, predictive analysis, credit scoring, listing information mining, unifying data silos for enhanced Customer intelligence, etc.

  1. What are your favorite things about TigerGraph? We work with a few graph database providers. TigerGraph is one of the few providers of distributed native graphs. In simple terms, TigerGraph is easy to learn/use, scales up easily as data grows, and supports fast multi-hop traversals which is very beneficial for analytics use cases. I also appreciate that the people behind the TigerGraph DB are very supportive and welcoming. 

  1. Can you share some of the most complicated use cases where you’re using TigerGraph? If so, what are they? At Mastech InfoTrellis, when we architect event-driven databases, we have a set of AI accelerators that help in implementing complex business solutions rapidly and systematically. In one of the implementations of anti-money laundering, ML models based on the initial dataset were generating a high number of false positives and negatives. The data was in many silos, in different languages, had a variety of transaction formats and thus making the investigations expensive. With the help of our AI accelerators implemented on TigerGraph, we enriched the data and uncovered previously unknown insights. The connections found through the social links of entities established indirect relationships and thus resolved entities more accurately. TigerGraph provided faster pattern detection on such a massive amount of data of connected people, companies, their transactions and payment chains, etc. in the underlying network. With our solution the client was able to reduce costs associated with fines and with investigating false positives and false negatives.

  1. Tell me about your experience in the Developer Community- we really appreciate how much you contribute to others learning TigerGraph and helping to answer their questions. TigerGraph’s developer community is very active and has many channels such as community forums, Discord, and Slack, etc. to reach out for help. I try to help community members by answering their graph modeling, GSQL, and application-related questions. I’ve trained a few resources on TigerGraph in some of our client teams and also at Mastech InfoTrellis. I also shared my learnings/experience in Graph+AI summit 2020.

Thank you, Deepti, for all your contributions to our community. We appreciate your mentorship to so many in our community!

 
construction-works final

Toolbox: Inside TigerGraph Developer Discussions

Xinyu Chang, Director of Customer Solutions at TigerGraph

Dr. Victor Lee

Victor Lee, VP of Machine Learning and AI, TigerGraph 

This past month, we had our 3.2 product release with many new features. One of the new releases was new algorithms! Some of these, such as Shortest Path and PageRank, have several variations, so the total number is over 50.

We’ve hyperlinked them all out for you below:

Algorithms

  • Centrality

    • PageRank

    • Article Rank

    • Betweenness

    • Closeness

    • Degree

    • Eigenvector

    • Harmonic

    • Influence Maximization

  • Community

    • Connected Components

    • K Core

    • K Means

    • Label Propagation

    • Local Cluster Coefficient

    • Louvain

    • Speaker-Listener Label Propagation

    • Triangle Counting

  • GraphML/Embeddings

    • FastRP

    • Node2Vec

  • Path

    • Astar_shortest_path

    • BFS

    • Cycle_detection

    • Estimated_diameter

    • Maxflow

    • Minimum_spanning_forest

    • Minimum_spanning_tree

    • Shortest Path

  • Classification

    • Greedy Graph Coloring

    • Maximal_independent_set

  • Similarity

    • Cosine

    • Jaccard

    • K Nearest Neighbors

    • Approximate Nearest Neighbors

  • Topological Link Prediction

    • Adamic Adar

    • Common Neighbors

    • Preferential Attachment

    • Resource Allocation

    • Same Community

    • Total Neighbors

  • Frequent Pattern Mining

    • Apriori 

Rad Blogs

  • Decision Trees in TigerGraph, Parker Erickson

  • An Introduction to Graph Machine Learning, Keras and TigerGraph

  • TigerGraph Powers a New Class of Member-Centric Analytics for Personalised Health Insurance, Charlie Beveridge

  • Utilizing Graph Technologies to Connect Employees by Optum Intern McKenzie Steenson

  • From Learning Python to Building a Graph Recommendation System by Optum Intern Kristine Zheng

If you have a blog you’ve written about TigerGraph, please submit it here and we’ll feature you in one of our newsletters.

TG x Schools

We launched our TigerGraph and University Program for university students to get practical TigerGraph experience, which will help create more job opportunities. TigerGraph offered “TigerGraph Thursdays”, where university students went through three mini-courses with short quizzes to get practical TigerGraph experience. Once students pass, we’re going to put their names on our university page for future customers wanting TigerGraph experts. After the three-part series, we’ll hold two conversational types of webinars where students can learn what it takes to get a job at TigerGraph or one of our customers. Below are all those that have passed the University Certification already!

  • Pamela Nelson, UCSD

  • Thy Nguyen, UCSD

  • Vinay Bhupathiraju, UCSD

  • Jiahe Jeffrey Feng, UCSD

  • Jinxin Xiao, UCSD

  • Pranav Deshmane, UCSD

  • Riya Mhatre, UCSD

  • Sanborn Nguyen, UCSD

Thank you again for all your involvement in the TigerGraph Developer Community. Keep up the great work! We’ll continue to share all your unique use cases, tools, blogs, courses, and more weekly on our Discord Channel. As mentioned above, please provide your past contributions to our Community Contribution Program and we’ll send you prizes. Stay tuned for more information. Have a great month!

 
  • Here are a few helpful links:
  • Find Community Members
  • Developer Chat
  • Developer Community
  • If you have a cool idea for a Graph Project, please submit it here.
  • If you have a way to improve the community, please submit it here.
  • If you have a feature request, please submit it here.
  • To stay up to date with what’s happening daily, join the community forum and developer’s chat!

You Might Also Like

Trillion edges benchmark: new world record beyond 100TB by TigerGraph featuring AMD based Amazon EC2 instances

Trillion edges benchmark: new world record...

March 13, 2023
Graph Databases 101: Your Top 5 Questions with Non-Technical Answers

Graph Databases 101: Your Top 5...

February 7, 2023
It’s Time to Harness the Power of Graph Technology [Infographic]

It’s Time to Harness the Power...

January 25, 2023

Introducing TigerGraph 3.0

July 1, 2020

Everything to Know to Pass your TigerGraph Certification Test

June 24, 2020

Neo4j 4.0 Fabric – A Look Behind the Curtain

February 7, 2020

TigerGraph Blog

  • Categories
    • blogs
      • About TigerGraph
      • Benchmark
      • Business
      • Community
      • Compliance
      • Customer
      • Customer 360
      • Cybersecurity
      • Developers
      • Digital Twin
      • eCommerce
      • Emerging Use Cases
      • Entity Resolution
      • Finance
      • Fraud / Anti-Money Laundering
      • GQL
      • Graph Database Market
      • Graph Databases
      • GSQL
      • Healthcare
      • Machine Learning / AI
      • Podcast
      • Supply Chain
      • TigerGraph
      • TigerGraph Cloud
    • Graph AI On Demand
      • Analysts and Research
      • Customer 360 and Entity Resolution
      • Customer Spotlight
      • Development
      • Finance, Banking, Insurance
      • Keynote
      • Session
    • Video
  • Recent Posts

    • Trillion edges benchmark: new world record beyond 100TB by TigerGraph featuring AMD based Amazon EC2 instances
    • Overview of Graph and Machine Learning with TigerGraph | Mar 8 @ 11am PST
    • Gartner Data & Analytics Summit 2023, London
    • Gartner Data and Analytics Summit, Orlando
    • Transaction Surveillance with Maximum Flow Algorithm
    TigerGraph

    Product

    SOLUTIONS

    customers

    RESOURCES

    start for free

    TIGERGRAPH DB
    • Overview
    • Features
    • GSQL Query Language
    GRAPH DATA SCIENCE
    • Graph Data Science Library
    • Machine Learning Workbench
    TIGERGRAPH CLOUD
    • Overview
    • Cloud Starter Kits
    • Login
    • FAQ
    • Pricing
    • Cloud Marketplaces
    USEr TOOLS
    • GraphStudio
    • TigerGraph Insights
    • Application Workbenches
    • Connectors and Drivers
    • Starter Kits
    • openCypher Support
    SOLUTIONS
    • Why Graph?
    industry
    • Advertising, Media & Entertainment
    • Financial Services
    • Healthcare & Life Sciences
    use cases
    • Benefits
    • Product & Service Marketing
    • Entity Resolution
    • Customer 360/MDM
    • Recommendation Engine
    • Anti-Money Laundering
    • Cybersecurity Threat Detection
    • Fraud Detection
    • Risk Assessment & Monitoring
    • Energy Management
    • Network & IT Management
    • Supply Chain Analysis
    • AI & Machine Learning
    • Geospatial Analysis
    • Time Series Analysis
    success stories
    • Customer Success Stories

    Partners

    Partner program
    • Partner Benefits
    • TigerGraph Partners
    • Sign Up
    LIBRARY
    • Resources
    • Benchmark
    • Webinars
    Events
    • Trade Shows
    • Graph + AI Summit
    • Million Dollar Challenge
    EDUCATION
    • Training & Certifications
    Blog
    • TigerGraph Blog
    DEVELOPERS
    • Developers Hub
    • Community Forum
    • Documentation
    • Ecosystem

    COMPANY

    Company
    • Overview
    • Careers
    • News
    • Press Release
    • Awards
    • Legal
    • Patents
    • Security and Compliance
    • Contact
    Get Started
    • Start Free
    • Compare Editions
    • Online Demo - Test Drive
    • Request a Demo

    Product

    • Overview
    • TigerGraph 3.0
    • TIGERGRAPH DB
    • TIGERGRAPH CLOUD
    • GRAPHSTUDIO
    • TRY NOW

    customers

    • success stories

    RESOURCES

    • LIBRARY
    • Events
    • EDUCATION
    • BLOG
    • DEVELOPERS

    SOLUTIONS

    • SOLUTIONS
    • use cases
    • industry

    Partners

    • partner program

    company

    • Overview
    • news
    • Press Release
    • Awards

    start for free

    • Request Demo
    • take a test drive
    • SUPPORT
    • COMMUNITY
    • CONTACT
    • Copyright © 2023 TigerGraph
    • Privacy Policy
    • Linkedin
    • Facebook
    • Twitter

    Copyright © 2020 TigerGraph | Privacy Policy

    Copyright © 2020 TigerGraph Privacy Policy

    • SUPPORT
    • COMMUNITY
    • COMPANY
    • CONTACT
    • Linkedin
    • Facebook
    • Twitter

    Copyright © 2020 TigerGraph

    Privacy Policy

    • Products
    • Solutions
    • Customers
    • Partners
    • Resources
    • Company
    • START FREE
    START FOR FREE
    START FOR FREE
    TigerGraph
    PRODUCT
    PRODUCT
    • Overview
    • GraphStudio UI
    • Graph Data Science Library
    TIGERGRAPH DB
    • Overview
    • Features
    • GSQL Query Language
    TIGERGRAPH CLOUD
    • Overview
    • Cloud Starter Kits
    TRY TIGERGRAPH
    • Get Started for Free
    • Compare Editions
    SOLUTIONS
    SOLUTIONS
    • Why Graph?
    use cases
    • Benefits
    • Product & Service Marketing
    • Entity Resolution
    • Customer Journey/360
    • Recommendation Engine
    • Anti-Money Laundering (AML)
    • Cybersecurity Threat Detection
    • Fraud Detection
    • Risk Assessment & Monitoring
    • Energy Management
    • Network Resources Optimization
    • Supply Chain Analysis
    • AI & Machine Learning
    • Geospatial Analysis
    • Time Series Analysis
    industry
    • Advertising, Media & Entertainment
    • Financial Services
    • Healthcare & Life Sciences
    CUSTOMERS
    read all success stories

     

    PARTNERS
    Partner program
    • Partner Benefits
    • TigerGraph Partners
    • Sign Up
    RESOURCES
    LIBRARY
    • Resource Library
    • Benchmark
    • Webinars
    Events
    • Trade Shows
    • Graph + AI Summit
    • Graph for All - Million Dollar Challenge
    EDUCATION
    • TigerGraph Academy
    • Certification
    Blog
    • TigerGraph Blog
    DEVELOPERS
    • Developers Hub
    • Community Forum
    • Documentation
    • Ecosystem
    COMPANY
    COMPANY
    • Overview
    • Leadership
    • Careers  
    NEWS
    PRESS RELEASE
    AWARDS
    START FREE
    Start Free
    • Request a Demo
    • SUPPORT
    • COMMUNITY
    • CONTACT
    Dr. Jay Yu

    Dr. Jay Yu | VP of Product and Innovation

    Dr. Jay Yu is the VP of Product and Innovation at TigerGraph, responsible for driving product strategy and roadmap, as well as fostering innovation in graph database engine and graph solutions. He is a proven hands-on full-stack innovator, strategic thinker, leader, and evangelist for new technology and product, with 25+ years of industry experience ranging from highly scalable distributed database engine company (Teradata), B2B e-commerce services startup, to consumer-facing financial applications company (Intuit). He received his PhD from the University of Wisconsin - Madison, where he specialized in large scale parallel database systems

    Todd Blaschka | COO

    Todd Blaschka is a veteran in the enterprise software industry. He is passionate about creating entirely new segments in data, analytics and AI, with the distinction of establishing graph analytics as a Gartner Top 10 Data & Analytics trend two years in a row. By fervently focusing on critical industry and customer challenges, the companies under Todd's leadership have delivered significant quantifiable results to the largest brands in the world through channel and solution sales approach. Prior to TigerGraph, Todd led go to market and customer experience functions at Clustrix (acquired by MariaDB), Dataguise and IBM.