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Graph Data Science Conference 2022
GraphConnect
Graph Data Science Conference Topics
Whether you’re a graph data science practitioner or a leader seeking big ideas to transform your business, you’ll find lightning sessions and in-depth workshops on topics such as:
- Blockchain ETL and Neo4j
- Building digital twins
- Data ecosystems and workflows
- Graph analytics and cloud security
- Graph drawing and modeling
- Improving AI with graph technology
- Java applications on Neo4j
- Knowledge graphs and risk analysis
- Network analytics and KYC
- Ontologies in Neo4j
Featured Speaker

Sean Robinson
Lead Data ScientistSean Robinson is a versatile data scientist with several years of experience optimizing data processes and building intelligent data systems. Specifically, he specializes in using graph data science and Neo4j to abstract complex systems within a domain into highly dimensional, interconnected knowledge graphs. Sean currently serves as lead data scientist at Graphable. He also teaches new network science courses at University of North Carolina for Charlotte’s data science graduate program.
Topic: Integrated Graph Machine Learning with GDS 2.0 and Python