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Get Started with the Most Advanced Edition Yet of Neo4j Graph Data Science
1.
© 2022 Neo4j,
Inc. All rights reserved. What’s New With Graph Data Science We’ve come a long way! Alicia Frame, PhD, Sr. Director of Data Science - Neo4j
2.
© 2022 Neo4j,
Inc. All rights reserved. How it started…
3.
© 2022 Neo4j,
Inc. All rights reserved. How it’s going… 18 more algorithms Graph EmbeddingS In-Graph Supervised ML So much Faster! New Enterprise Features ML Ops Support Improved Compression
4.
© 2022 Neo4j,
Inc. All rights reserved. 4 Deployment 01 Capabilities The Basics What is graph data science? What is Neo4j Graph Data Science , and what’s it do? How - and where - can I run graph data science? 02 03 New Stuff Ecosystem How does Graph Data Science fit in with my workflows? What’s the latest and greatest? 04 05 Overview
5.
© 2022 Neo4j,
Inc. All rights reserved. 5 Your data is meaningless without relationships It’s not the raw numbers, it’s the relationships behind them Plants Warehouses Suppliers Distributors Competitors Partners Regulations Employees Citizens Customers Products Parts Services Regions
6.
© 2022 Neo4j,
Inc. All rights reserved. 6 Use your relationships to answer questions - that you couldn’t answer without graph Queries Find the patterns you know exist. Machine Learning Graph Algorithms, Feature Engineering, and Predictions Visualization Explore, collaborate, and explain Analytics Feature Engineering Data Exploration Graph Data Science Queries Machine Learning Visualization
7.
© 2022 Neo4j,
Inc. All rights reserved. 7 Doing Graph Data Science Knowledge Graphs Graph Algorithms Graph Native Machine Learning Use unsupervised machine learning techniques to identify associations, anomalies, and trends. Use embeddings to learn the features in your graph that you don’t even know are important yet. Train in-graph supervise ML models to predict links, labels, and missing data. Find the patterns you’re looking for in connected data
8.
© 2022 Neo4j,
Inc. All rights reserved. Who is most important? What’s the best choice? What will happen next? 8 Connections answer questions Who has the most connections? Who else bought the same item? What’s the most common path?
9.
© 2022 Neo4j,
Inc. All rights reserved. Who is most important? What’s the best choice? What will happen next? 9 Connections answer questions Who has the most connections? Who has the highest page rank? Who else bought the same item? What’s the shortest path? What’s the most common path? Who is in the same community?
10.
© 2022 Neo4j,
Inc. All rights reserved. Who is most important? What’s the best choice? What will happen next? 10 Connections answer questions Who has the most connections? Who has the highest page rank? Who is an influencer? Who else bought the same item? What’s the shortest path? What is the most likely purchase? What’s the most common path? Who is in the same community? What relationship will form?
11.
© 2022 Neo4j,
Inc. All rights reserved. 11 Connections answer questions Personalized Recommendations Churn Prediction Market Segmentation Life Sciences Logistics & Supply Chain Cybersecurity Master Data Management Fraud Detection
12.
© 2022 Neo4j,
Inc. All rights reserved. 12 Neo4j Graph Data Science How does Neo4j help you leverage relationships to answer business critical questions?
13.
© 2022 Neo4j,
Inc. All rights reserved. © 2022 Neo4j, Inc. All rights reserved. 13 Answer your Questions with Neo4j Graph Data Science Data Sources Data Science and Analytics Tools Explorative tools, rich algorithm library, and Integrated supervised Machine Learning framework. Native Graph Database The foundation of the Neo4j platform; delivers enterprise-scale and performance, security, and data integrity for transaction and analytical workloads. Development Tools & Frameworks Tooling, APIs, query builder, multi-language support for development, admin, modeling, and rapid prototyping needs. Discovery & Visualization Code-free querying, data modeling and exploration tools for data scientists, developers, and analysts. Graph Query Language Support Cypher & openCypher; ongoing leadership and standards work (GQL) to establish lingua franca for graphs. Ecosystem & Integrations Rich ecosystem of tech and integration partners. Ingestion tools (JDBC, Kafka, Spark, BI Tools, etc.) for bulk and streaming needs. Runs Anywhere Deploy as-a-Service (AuraDS) or self-hosted within your cloud of choice (AWS, GCP, Azure) via their marketplace, or on-premises. Data Connectors Transactions Analytics Graph Database Data Consolidation Contextualization Enterprise Ready Data Science & MLOps Graph Data Science Neo4j Bloom Neo4j Browser BUSINESS USERS DEVELOPERS DATA SCIENTISTS DATA ANALYSTS BI Connectors AutoML Integrations Language interfaces
14.
© 2022 Neo4j,
Inc. All rights reserved. © 2022 Neo4j, Inc. All rights reserved. 14 Answer your Questions with Neo4j Graph Data Science Data Science and Analytics Tools Explorative tools, rich algorithm library, and Integrated supervised Machine Learning framework. Native Graph Database The foundation of the Neo4j platform; delivers enterprise- scale and performance, security, and data integrity for transaction and analytical workloads. Development Tools & Frameworks Tooling, APIs, query builder, multi-language support for development, admin, modeling, and rapid prototyping needs. Discovery & Visualization Code-free querying, data modeling and exploration tools for data scientists, developers, and analysts. Graph Query Language Support Cypher & openCypher; ongoing leadership and standards work (GQL) to establish lingua franca for graphs. Ecosystem & Integrations Rich ecosystem of tech and integration partners. Ingestion tools (JDBC, Kafka, Spark, BI Tools, etc.) for bulk and streaming needs. Runs Anywhere Deploy as-a-Service (AuraDS) or self-hosted within your cloud of choice (AWS, GCP, Azure) via their marketplace, or on-premises. Neo4j Graph Data Science Library Scalable Graph Algorithms Analytics Workspace Neo4j Bloom Visual Graph Exploration & Prototyping Neo4j Database Native Graph Creation & Persistence
15.
© 2022 Neo4j,
Inc. All rights reserved. © 2022 Neo4j, Inc. All rights reserved. 15 Answer your Questions with Neo4j Graph Data Science Data Science and Analytics Tools Explorative tools, rich algorithm library, and Integrated supervised Machine Learning framework. Native Graph Database The foundation of the Neo4j platform; delivers enterprise- scale and performance, security, and data integrity for transaction and analytical workloads. Development Tools & Frameworks Tooling, APIs, query builder, multi-language support for development, admin, modeling, and rapid prototyping needs. Discovery & Visualization Code-free querying, data modeling and exploration tools for data scientists, developers, and analysts. Graph Query Language Support Cypher & openCypher; ongoing leadership and standards work (GQL) to establish lingua franca for graphs. Ecosystem & Integrations Rich ecosystem of tech and integration partners. Ingestion tools (JDBC, Kafka, Spark, BI Tools, etc.) for bulk and streaming needs. Runs Anywhere Deploy as-a-Service (AuraDS) or self-hosted within your cloud of choice (AWS, GCP, Azure) via their marketplace, or on-premises. Graph Algorithms Unsupervised ML to find patterns & anomalies ML Pipelines Supervised ML to make graph predictions Graph Catalog Native Graph Creation & Persistence Unsupervised ML to find patterns & anomalies
16.
© 2022 Neo4j,
Inc. All rights reserved. 16 Graph Catalog • Single API to materialize graph projections • Subset, reshape and transform your underlying database • Modify projections with mutate • Graph Catalog manages your projections • (new!) Backup, restore, or export projected graphs We transform your underlying data store into a highly optimized CSR representation, built for massively parallel data science workloads. Mutable In-Memory Workspace Computational Graph Native Graph Store
17.
© 2022 Neo4j,
Inc. All rights reserved. 17 Graph Catalog • Single API to materialize graph projections • Subset, reshape and transform your underlying database • Modify projections with mutate • Graph Catalog manages your projections • (new!) Backup, restore, or export projected graphs We transform your underlying data store into a highly optimized CSR representation, built for massively parallel data science workloads. Mutable In-Memory Workspace Computational Graph Native Graph Store Want to learn more? Scaling into Billions of Nodes and Relationships with Neo4j Graph Data Science Wednesday @ 10 am
18.
© 2022 Neo4j,
Inc. All rights reserved. 18 Graph Algorithms Pathfinding & Search • Shortest Path • Single-Source Shortest Path • Delta Stepping • All Pairs Shortest Path • A* Shortest Path • Yen’s K Shortest Path • Minimum Weight Spanning Tree • K-Spanning Tree (MST) • Random Walk • Breadth & Depth First Search Centrality & Importance • Degree Centrality • Closeness Centrality • Harmonic Centrality • Betweenness Centrality & Approx. • PageRank • Personalized PageRank • ArticleRank • Eigenvector Centrality • Hyperlink Induced Topic Search (HITS) • Influence Maximization (Greedy, CELF) Community Detection • Triangle Count • Local Clustering Coefficient • Connected Components (Union Find) • Strongly Connected Components • Label Propagation • Louvain Modularity • K-1 Coloring • Modularity Optimization • Speaker Listener Label Propagation • K-means Clustering • Leiden Algorithm • Conductance Heuristic Link Prediction • Adamic Adar • Common Neighbors • Preferential Attachment • Resource Allocations • Same Community • Total Neighbors Similarity • Node Similarity • Filtered Node Similarity • K-Nearest Neighbors (KNN) • Filtered KNN • Functions: Pearson, Jaccard, Overlap, Cosine, Euclidean, Euclidean Distance Graph Embeddings • Node2Vec • FastRP, FastRPExtended • GraphSAGE
19.
© 2022 Neo4j,
Inc. All rights reserved. 19 Machine Learning Pipelines AutoML for in-graph machine learning: ● Node Classification ● Node Regression (new!) ● Link Prediction ML pipelines support: ● Data splitting & rebalancing ● Feature engineering ● Model evaluation and selection ● Automated hyperparameter tuning (new!) Trained models in the model catalog ● Persistable ● Publishable ● Automatically applies pipelines to new data for predictions
20.
© 2022 Neo4j,
Inc. All rights reserved. 20 Deployment How, and where, can I deploy graph data science?
21.
© 2022 Neo4j,
Inc. All rights reserved. 21 Single Node, Read Scaling, or (new!) Hybrid Neo4j Graph Data Science can be configured for your needs Data Science Platform ● Large, single instance for built for scale up analytics ● Configure with plenty of heap for in-memory computation ● Graph Data Science Library Supports ○ In-memory graph projections ○ Highly parallelized algorithms ○ Automated ML pipelines Hybrid Deployment ● Add a specially configured GDS node to your causal cluster ● Writeback is managed automatically via server side routing ● Data on the GDS node is kept in- sync with the cluster ● Pausing updates to the GDS node can improve performance Read Scaling ● Connect one or more read replicas to your primary GDS instance ● Support for: ○ Read (query or algo) scaling ○ Bloom Server ○ Disaster Recovery
22.
© 2022 Neo4j,
Inc. All rights reserved. 22 Deploy Anywhere You Want AuraDS Data Science as a Service Self Managed Containerized Deploy where you want, customized architecture for your use case Spin up a transient environment to use as a data science tool We manage the infrastructure so you can focus on data science
23.
© 2022 Neo4j,
Inc. All rights reserved. 23 Introducing Making Graph Data Science Easy ● Sizing guidance ● Scale on demand ● Metrics ● Migration & Cloning Enterprise ready, with fully managed infrastructure, updates and security patches
24.
© 2022 Neo4j,
Inc. All rights reserved. 24 Introducing Making Graph Data Science Easy ● Sizing guidance ● Scale on demand ● Metrics ● Migration & Cloning Enterprise ready, with fully managed infrastructure, updates and security patches
25.
© 2022 Neo4j,
Inc. All rights reserved. 25 Introducing Making Graph Data Science Easy ● Sizing guidance ● Scale on demand ● Metrics ● Migration & Cloning Enterprise ready, with fully managed infrastructure, updates and security patches Want to learn more? New! Neo4j AuraDS: The Fastest Way to Get Started with Data Science in the Cloud Today @ 4:45pm
26.
© 2022 Neo4j,
Inc. All rights reserved. 26 Ecosystem Graph Data Science fits easily into your existing workflows
27.
© 2022 Neo4j,
Inc. All rights reserved. 27 Supported Connectors & Drivers Apache Spark Connector Neo4j BI Connector Apache Kafka Connector Data Warehouse Connector Java Python .NET JavaScript Go
28.
© 2022 Neo4j,
Inc. All rights reserved. 28 New! Data Warehouse Connector ● We’re extending our Spark connector infrastructure to make it easier than ever to move data between your data warehouse and Neo4j ● Support for Snowflake, Google BigQuery, Amazon RedShift, and Azure Synapse ● Use as a: ○ Spark Submit Job (provide JSON configuration) ○ Simplified Scala/Python API Data Warehouse Connector
29.
© 2022 Neo4j,
Inc. All rights reserved. 30 New! Apache Arrow Integration Arrow is a language-independent columnar memory format for flat and hierarchical data: • Data is organized for efficient analytic operations on CPU and GPU • Arrow Flight is used to move Arrow data efficiently between processes and machines GDS 2.1 incorporates Apache Arrow for fast graph projection (from external sources), database creation, and exporting algorithm results
30.
© 2022 Neo4j,
Inc. All rights reserved. 31 Brand New: Apache Arrow Integration Arrow is a language-independent columnar memory format for flat and hierarchical data: • Data is organized for efficient analytic operations on CPU and GPU • Arrow Flight is used to move Arrow data efficiently between processes and machines GDS 2.1 incorporates Apache Arrow for fast graph projection (from external sources), database creation, and exporting algorithm results Want to learn more? Achieve Blazing Fast Ingest Speeds with Apache Arrow Today @ 4:45pm
31.
© 2022 Neo4j,
Inc. All rights reserved. 32 New! Python Client Native Python client - graphdatascience makes it easier than ever before to use GDS Data scientists don’t need to use (or understand) transaction functions - Wraps the Neo4j python driver (and newly added dataframe support) - Run GDS algorithms just like you would any python function - run_cypher lets you execute Cypher statements Pythonic features: support for graph and model objects
32.
© 2022 Neo4j,
Inc. All rights reserved. 33 New! Python Client Native Python client - graphdatascience makes it easier than ever before to use GDS Data scientists don’t need to use (or understand) transaction functions - Wraps the Neo4j python driver (and newly added dataframe support) - Run GDS algorithms just like you would any python function - run_cypher lets you execute Cypher statements Pythonic features: support for graph and model objects Want to learn more? Integrated Graph Machine Learning with GDS 2.0 & Python Today @ 3pm
33.
© 2022 Neo4j,
Inc. All rights reserved. Putting it all together: GDS is a part of your tech stack ML Development & Training ML Deployment & Monitoring Data Pipeline Data Sources ML Deployment ML Monitoring Register Model Data Enrichment API/Service ML Users Web Apps Services Jobs Gateway ML API/Service ETL Amazon Glue Amazon Kinesis Amazon MSK Amazon DataSync ML Development Notebook Canvas Amazon SageMaker ML Pipeline Data Processing Model Training Model Evaluation Pass Model Evaluation Model Status Change Event Rule CloudFormation SageMaker Endpoint CloudWatch Metrics CloudWatch Alarm (Data/Model Drift) Trigger Model Retraining Approve Model/ Auto-Approve (Model Retrianing) Insights Logs Model Monitoring Job Feature Stores Feast Data lake Amazon S3 Bloom GDS Python Feature Engineering (& Data Validation) Amazon Lambda Amazon EMR Neo4j Database GDS Graph Catalog Graph Data Science
34.
© 2022 Neo4j,
Inc. All rights reserved. 35 What else is new? We’ve already covered a lot of ground, but there’s still ✨so much more✨
35.
© 2022 Neo4j,
Inc. All rights reserved. 36 New Algorithms Leiden Algorithm: Like Louvain - but better (less likely to create disconnected communities). Hierarchical, modularity based community detection. K-means Clustering: Cluster data based on properties (like graph embeddings) - allows users to specify the number of communities they expect
36.
© 2022 Neo4j,
Inc. All rights reserved. 37 New Algorithms Leiden Algorithm: Like Louvain - but better (less likely to create disconnected communities). Hierarchical, modularity based community detection. K-means Clustering: Cluster data based on properties (like graph embeddings) - allows users to specify the number of communities they expect Want to learn more? Interpreting the Results of Community Detection Algorithms Wednesday @ 11:30 am
37.
© 2022 Neo4j,
Inc. All rights reserved. 38 Transparency & Logging “What is GDS doing?” Progress Logging:
38.
© 2022 Neo4j,
Inc. All rights reserved. 39 Transparency & Logging “What is GDS doing?” System Monitoring: What resources are available? Who’s doing what?
39.
© 2022 Neo4j,
Inc. All rights reserved. 40 Transparency & Logging “What is GDS doing?” Warnings and Hints: Need to double check if you’re on the right track? Want to know if there’s anything you’re missing? Try gds.alpha.userLog!
40.
© 2022 Neo4j,
Inc. All rights reserved. New in GraphML: regression & autotuning Node classification: “What label should this node have?” Link prediction: “Should there be a relationship between these nodes?” Labeled data: Pairs of nodes that are either linked or not Features: Pre-existing attributes, algorithm results, embeddings Property Regression (new) “What’s the value for this missing property?” We discover the best model for you - you just supply the data! 41
41.
© 2022 Neo4j,
Inc. All rights reserved. New in GraphML: regression & autotuning Node classification: “What label should this node have?” Link prediction: “Should there be a relationship between these nodes?” Labeled data: Pairs of nodes that are either linked or not Features: Pre-existing attributes, algorithm results, embeddings Property Regression (new) “What’s the value for this missing property?” We discover the best model for you - you just supply the data! 42
42.
© 2022 Neo4j,
Inc. All rights reserved. Coming Soon: No Code Data Science
43.
© 2022 Neo4j,
Inc. All rights reserved. 44 Thank you! alicia@neo4j.com @aliciaframe1
Hinweis der Redaktion
Note: System Monitoring isn’t on the slide
What’s coming: GDS: Core DB: AuraDB: User Tools:
What’s coming: GDS: Core DB: AuraDB: User Tools:
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