Graph Database Starter Kits
TigerGraph Cloud Starter Kits
Out-of-the-box starter kits for fast application development
TigerGraph Cloud Starter Kits are built with sample graph data schema, dataset, and queries focused on a specific use case such as Fraud Detection, Recommendation Engine, Supply Chain Analysis and/or a specific industry such as healthcare, pharmaceutical or financial services.
Starter Kit
- Blank
- Customer 360 – Attribution and Engagement Graph
- COVID-19 Analysis
- Cybersecurity Threat Detection-IT
- Enterprise Knowledge Graph (Corporate Data)
- Enterprise Knowledge Graph (Crunchbase)
- Entity Resolution (MDM)
- Financial Services (Payments) – Fraud Detection
- Fraud and Money Laundering Detection (Fin. Services)
- GSQL 101
- Graph Analytics - Centrality Algorithms
- Graph Analytics - Community Detection Algorithms
- Graph Analytics - Shortest Path Algorithms
- Healthcare Graph (Drug Interaction/FAERS)
- Healthcare – Referral Networks, Hub(PageRank) & Community Detection
- Machine Learning and Real-time Fraud Detection
- In-Database Machine Learning Recommendation
- In-Database Machine Learning for Big Data Entity Resolution
- Low-Rank Approximation Machine Learning
- Network and IT Resource Optimization
- Recommendation Engine (Movie Recommendation)
- Recommendation Engine 2.0 (Hyper-Personalized Marketing)
- Social Network Analysis
- Supply Chain Analysis
Overview
- No pre-populated schema, dataset or queries
- Create a real-time 360-degree view of the customer journey for attribution and engagement insights
- Detect hubs of infection and track the movements of potential spreaders
- Block cybersecurity threats by detecting interconnected events, devices and people
- Analysis of corporate data including investors and key stakeholders
- Knowledge Graph example featuring Crunchbase data with startups, founders and companies
- Identify, link and merge entities such as customers with analysis of attributes and relationships
- Detect and stop fraudulent payments in real-time
- Multiple types of fraud and money laundering patterns
- Introduction to TigerGraph’s powerful graph query language
- Determine the entity in your network that is most central to the others
- Find communities of a specific type in your network Tags: Graph Algorithms
- Identify the path through your network with the fewest number of hops
- Healthcare example focused on public (FAERS) and private data for pharmaceutical drugs
- Analyze member (patient) claims to establish referral networks, identify most influential prescribers (doctors) and discover the connected prescriber communities
- Mobile industry example for detecting fraud in real-time and generating graph-based features for training the machine learning solution
- Provide content and products suggestions using an in-database machine learning recommendation system
- Match, link and group entities for creating a single identity across large datasets with in-database machine learning.
- Implement the low-rank approximation algorithm natively in-database to deliver personalized recommendations
- Network and IT resource graph for modeling and analyzing the impact of the hardware outage on workloads
- Graph-based movie recommendation engine built with public data
- Hyper-personalized recommendation engine to create dynamic offers in real-time for higher click-through and revenue
- Social network example for understanding and analyzing relationships
- Example covering inventory planning and impact analysis
Video
- Graph Gurus 23
- Customer 360 Demo
- COVID-19 Demo
- Graph Gurus 22
- Enterprise Relationship Demo
- Crunchbase Data Demo
- Graph Gurus 18
- Graph Gurus 17
- Anti-Fraud Demo
- GSQL Webinar
- Graph Gurus 27
- Graph Gurus 29
- Graph Gurus 26
- Healthcare FAERS Demo
- Referral Networks Demo
- Graph Gurus 3
- Graph Gurus 28
- In-Database Machine Learning for Big Data Entity Resolution Demo
- Graph Gurus 28
- Graph Gurus 9
- Graph Gurus 2
- Graph Gurus 16
- Social Connections Demo
- Supply Chain Demo
Dataset
- Customer 360 Dataset
- COVID-19 Analysis Dataset
- Cybersecurity Dataset
- Enterprise Knowledge Graph (Corporate) Dataset
- Enterprise Knowledge Graph (Crunchbase) Dataset
- Entity Resolution Dataset
- Financial Services (Payments) Dataset
- Fraud and Money Laundering Detection Dataset
- GSQL Dataset
- Centrality Algorithms Dataset
- Community Detection Algorithms Dataset
- Shortest Path Algorithms Dataset
- Healthcare FAERS Dataset
- Healthcare Referral Networks Dataset
- Machine Learning / Fraud Detection Dataset
- In-Database Machine Learning Recommendation Dataset
- In-Database Machine Learning for Big Data Entity Resolution Demo Dataset
- Low-Rank Approximation Machine Learning Dataset
- Network and IT Dataset
- Recommendation Engine Dataset
- Recommendation Engine 2.0 Dataset
- Social Network Dataset
- Supply Chain Dataset
Starter Kit | Blank |
Overview | No pre-populated schema, dataset or queries |
Video | Graph Gurus 23 |
Dataset |
Dataset | |
|---|---|
Starter Kit | Customer 360 – Attribution and Engagement Graph |
Overview | Create a real-time 360-degree view of the customer journey for attribution and engagement insights |
Video | Customer 360 Demo |
Dataset | Customer 360 Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | COVID-19 Analysis | ||
Overview | Detect hubs of infection and track the movements of potential spreaders | ||
Video | COVID-19 Demo | ||
Dataset | COVID-19 Analysis Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Cybersecurity Threat Detection-IT | ||
Overview | Block cybersecurity threats by detecting interconnected events, devices and people | ||
Video | Graph Gurus 22 | ||
Dataset | Cybersecurity Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Enterprise Knowledge Graph (Corporate Data) | ||
Overview | Analysis of corporate data including investors and key stakeholders | ||
Video | Enterprise Relationship Demo | ||
Dataset | Enterprise Knowledge Graph (Corporate) Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Enterprise Knowledge Graph (Crunchbase) | ||
Overview | Knowledge Graph example featuring Crunchbase data with startups, founders and companies | ||
Video | Crunchbase Data Demo | ||
Dataset | Enterprise Knowledge Graph (Crunchbase) Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Entity Resolution (MDM) | ||
Overview | Identify, link and merge entities such as customers with analysis of attributes and relationships | ||
Video | Graph Gurus 18 | ||
Dataset | Entity Resolution Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Fraud and Money Laundering Detection (Fin. Services) | ||
Overview | Multiple types of fraud and money laundering patterns | ||
Video | Anti-Fraud Demo | ||
Dataset | Fraud and Money Laundering Detection Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Financial Services (Payments) – Fraud Detection | ||
Overview | Detect and stop fraudulent payments in real-time | ||
Video | Graph Gurus 17 | ||
Dataset | Financial Services (Payments) Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | GSQL 101 | ||
Overview | Introduction to TigerGraph’s powerful graph query language | ||
Video | GSQL Webinar | ||
Dataset | GSQL Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Graph Analytics – Centrality Algorithms | ||
Overview | Determine the entity in your network that is most central to the others | ||
Video | Graph Gurus 27 | ||
Dataset | Centrality Algorithms Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Graph Analytics – Community Detection Algorithms | ||
Overview | Find communities of a specific type in your network Tags: Graph Algorithms | ||
Video | Graph Gurus 29 | ||
Dataset | Community Detection Algorithms Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Graph Analytics – Shortest Path Algorithms | ||
Overview | Identify the path through your network with the fewest number of hops | ||
Video | Graph Gurus 26 | ||
Dataset | Shortest Path Algorithms Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Healthcare Graph (Drug Interaction/FAERS) | ||
Overview | Healthcare example focused on public (FAERS) and private data for pharmaceutical drugs | ||
Video | Healthcare FAERS Demo | ||
Dataset | Healthcare FAERS Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Healthcare – Referral Networks, Hub(PageRank) & Community Detection | ||
Overview | Analyze member (patient) claims to establish referral networks, identify most influential prescribers (doctors) and discover the connected prescriber communities | ||
Video | Referral Networks Demo | ||
Dataset | Healthcare Referral Networks Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Machine Learning and Real-time Fraud Detection | ||
Overview | Mobile industry example for detecting fraud in real-time and generating graph-based features for training the machine learning solution | ||
Video | Graph Gurus 3 | ||
Dataset | Machine Learning / Fraud Detection Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | In-Database Machine Learning Recommendation | ||
Overview | Provide content and products suggestions using an in-database machine learning recommendation system | ||
Video | Graph Gurus 28 | ||
Dataset | In-Database Machine Learning Recommendation Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | In-Database Machine Learning for Big Data Entity Resolution | ||
Overview | Match, link and group entities for creating a single identity across large datasets with in-database machine learning. | ||
Video | In-Database Machine Learning for Big Data Entity Resolution Demo | ||
Dataset | In-Database Machine Learning for Big Data Entity Resolution Demo Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Low-Rank Approximation Machine Learning | ||
Overview | Implement the low-rank approximation algorithm natively in-database to deliver personalized recommendations | ||
Video | Graph Gurus 28 | ||
Dataset | Low-Rank Approximation Machine Learning Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Network and IT Resource Optimization | ||
Overview | Network and IT resource graph for modeling and analyzing the impact of the hardware outage on workloads | ||
Video | Graph Gurus 9 | ||
Dataset | Network and IT Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Recommendation Engine (Movie Recommendation) | ||
Overview | Graph-based movie recommendation engine built with public data | ||
Video | Graph Gurus 2 | ||
Dataset | Recommendation Engine Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Recommendation Engine 2.0 (Hyper-Personalized Marketing) | ||
Overview | Hyper-personalized recommendation engine to create dynamic offers in real-time for higher click-through and revenue | ||
Video | Graph Gurus 16 | ||
Dataset | Recommendation Engine 2.0 Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Social Network Analysis | ||
Overview | Social network example for understanding and analyzing relationships | ||
Video | Social Connections Demo | ||
Dataset | Social Network Dataset |
Starter Kit | Overview | Video | Dataset |
|---|---|---|---|
Starter Kit | Supply Chain Analysis | ||
Overview | Example covering inventory planning and impact analysis | ||
Video | Supply Chain Demo | ||
Dataset | Supply Chain Dataset |
Blank
No pre-populated schema, dataset or queries
COVID-19 Analysis
Detect hubs of infection and track the movements of potential spreaders
Customer 360 – Attribution and Engagement Graph
Create a 360-degree view of customer journeys for attribution and engagement insights
Cybersecurity Threat Detection-IT
Block cybersecurity threats by detecting interconnected events, devices and people
Enterprise Knowledge Graph (Corporate Data)
Analyze corporate data including investors and key stakeholders
Enterprise Knowledge Graph (Crunchbase)
Build a Crunchbase knowledge graph to analyze and recommend investment opportunities
Entity Resolution (MDM)
Identify, link and merge entities such as customers with analysis of attributes and relationships
Financial Services (Payments) – Fraud Detection
Detect and stop fraudulent payments in real-time
Fraud and Money Laundering Detection (Fin. Services)
Multiple types of fraud and money laundering patterns
GSQL 101
Introduction to TigerGraph’s powerful graph query language
Graph Analytics - Centrality Algorithms
Determine the entity in your network that is most central to the others
Graph Analytics - Community Detection Algorithms
Discover self-defining communities based on their pattern of interaction
Graph Analytics - Shortest Path Algorithms
Identify the path through your network with the fewest number of hops
Healthcare Graph (Drug Interaction/FAERS)
Healthcare example focused on public (FAERS) and private data for pharmaceutical drugs
Healthcare – Referral Networks, Hub & Community Detection
Analyze care claims to rank the influence of providers and discover referral communities
In-Database Machine Learning Recommendation
Recommend products using in-database latent factor machine learning
In-Database Machine Learning for Big Data Entity Resolution
Match, link and group digital identities into a single identity across large datasets
Network and IT Resource Optimization
Model network and IT resources to analyze the impact of hardware outages on workloads
Machine Learning and Real-time Fraud Detection v3
Mobile Industry example for detecting fraud in real-time and extracting graph features to train a machine learning solution
Recommendation Engine (Movie Recommendation)
Graph-based movie recommendation engine using collaborative filtering
Recommendation Engine 2.0 (Hyper-Personalized Marketing)
Hyper-personalized recommendation engine to create dynamic offers for higher click-through and revenue
Social Network Analysis
See and analyze relationships in a social network
Supply Chain Analysis
Model an entire supply chain for multi-level inventory planning and impact analysis
