Vote Now - DevOps Dozen 2022
Great news! TigerGraph Machine Learning Workbench has been selected as a finalist for the DevOps Dozen 2022 awards in the Best DevOps for DataOps/Database Solution category!
Winners are determined based on the highest number of votes. Make sure to vote now!
Voting will close on December 31, 2022.
We’re excited to announce the general availability release of the TigerGraph 3.8.0 version on TGCloud and on-prem (interim release for on-prem).
Developer tools include:
- Introduced a new TigerGraph Cloud integration with Machine Learning Workbench
- Added support for multiple edge instances between two vertices in GraphStudio.
- Added Packaged Template Queries as a more streamlined way for developers to install and manage the GDS algorithm library.
Full release notes are available here.
Want to learn about some of the brand-new tools and latest improvements in TigerGraph Cloud?
Check out this blog Nov 2022: TigerGraph Cloud Update
TigerGraph Insights (Insights) is a no-code/low-code intuitive visual graph application building tool on top of the TigerGraph native parallel graph database that allows any user (technical or not) to easily and quickly obtain meaningful visual insights that would remain hidden without a deep graph-enabled analysis of their connected data.
Check out this blog that walks you through how to build a feature-rich and interactive visual graph analytics application via Insights in less than 30 minutes!
Turbocharge your business intelligence with TigerGraph’s ML Workbench on TG Cloud
In this blog, we will explore ways you can apply graph algorithms and graph features to tackle fraud detection problems!
We will showcase how to construct your graph data set with TigerGraph, then we will walk through a Jupyter notebook example to construct an end-to-end fraud detection application with a GNN model using the Ethereum dataset which contains accounts (with positive and negative labels) and transactions between them. Here is how the schema looks.
Trending Community Topic
Check out last week’s Discourse topic with the most views:
Are you knowledgeable on this topic? Don’t hesitate to jump in and help others in the community!
TigerGraph 101 - An Intro to Graph
Tune in with Dan Barkus, TigerGraph Developer Advocate, where he’ll teach and provide
- An introduction to Graph and TigerGraph
- Comparison to relational databases and when to use graph with real-world use cases.
- Walkthrough of creating your first graph through Graph Studio.
Make sure to sign-up for TigerGraph Cloud at https://www.tgcloud.io before attending the workshop.
Date: Thursday, December 8, 2022
Time: 9:00 AM PST
Bring your coffee and talk directly with our engineers every Tuesday on Discord. During Graphé hours, we talk about all things graph, answer questions about graph modeling, GSQL programming, and more!
Introduction to Graph Neural Networks
Join triple Kaggle Grandmaster, Usha Rengaraju, to learn about the basic mechanism of graph neural networks and the concepts and methods in unsupervised node outlier detection on graphs. The graph neural network (GNN) has become a dominant and powerful tool in mining graph data and is designed to encode the graph structure and learn a node’s embedding.
Register now to learn about why GNN exists, how they are used in real-world applications, and the basic architecture of how it works.
Date: Tuesday, November 22, 2022
Time: 4:00 PM IST
[Tuesday, November 29th] Evanta CDO Executive Summit – Chicago
In Person: Chicago
Get together with Chicago’s top CDOs to tackle shared business challenges and critical priorities facing your role today. Participate in this one-day, local program with peer-driven topics and interactive discussions with your true C-level peers.
[Monday, November 28th - Friday, December 2nd] AWS Re:Invent Las Vegas
In Person: Las Vegas
For 10 years, the global cloud community has come together at re:Invent to meet, get inspired, and rethink what’s possible. Join us again this year in Las Vegas for our biggest, most comprehensive, and most vibrant event in cloud computing.
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