Call for Speakers

Call for Speakers is closed. Submissions are no longer possible. Sorry.
finished 261 days ago

NODES 2023

event date

26 Oct 2023



NODES 2023

NODES 2023 is Neo4j's biggest online conference, loaded with in-depth technical presentations delivered by community experts on graph-enabled applications, ML models, and visualization.  

The free 24-hour online conference will feature a variety of interesting educational content and use cases to help spark ideas and shorten the learning curve, ranging from general tips and tricks to specific methods for optimization in building real-world applications and ML models.

finished 378 days ago
Call for Speakers
Call opens at 5:45 AM

04 May 2023

Call closes at 11:59 PM

30 Jun 2023

Call closes in UTC (UTC+00:00) timezone.
Closing time in your timezone () is .

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 the inner workings of applications.

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, Cypher queries, best practices, and lessons learned.

We strongly encourage first-time speakers and presenters from minority groups to submit proposals. 

The three tracks of the conference are: 

Building Intelligent Applications: APIs, Libraries, and Frameworks

Tools and best practices to create graph-powered applications with any software stack and programming language. Topics may include the open-source development of frameworks and libraries for the graph ecosystem. 

Machine Learning and AI 

How graph technology provides context for your data and enhances the accuracy of ML and AI projects. Topics may include graph neural networks, responsible AI, graph embeddings, knowledge graph mining, and much more. 

Visualization: Tools, Techniques, and Best Practices 

Techniques and tools for exploring hidden and unexpected patterns in your data and presenting complex relationships. Topics may include knowledge graphs, ethical data practices, data representation, and much more. 

We'll highlight some talks and speakers before the CFP deadline. Submit your abstract early for consideration. 

To see the talks from last year, check out the NODES 2022 Playlist.