Submissions should be on graph-related topics that are technical in nature. They can include any stack, programming language, industry use case, technique, or methodology. Topics range from graph AI/ML projects to engineering and optimizations of applications' inner workings.

There is no limitation on the types of use cases you can discuss. We do ask that presentations concentrate on the "how" – for example, showing the code, graph data models, AI agents, Cypher queries, best practices, lessons learned and more.

Choose from two session formats:

25-minute talks with Q&A

2-hour hands-on workshops

The conference's main themes are: 

Knowledge Graphs & GraphRAG

 How knowledge graphs and GraphRAG connect structured knowledge with generative AI for smarter, context-rich results.

Graph Memory & Agents

 How graph-based memory gives AI agents persistence, context, and the ability to plan and adapt.

Graph + AI in Production

 Real-world stories of scaling graph + AI into production and driving impact across industries.

We'll highlight some talks and speakers at NODES on Nov 6. Submit your abstract early for consideration.