Developers and data scientists, do you have a creative graph-powered project or cool graph technique? Here’s your invitation to present it at NODES 2023, the free 24-hour online conference where the community gathers to learn the latest in graph-driven innovation.
This is the perfect way to share your graph knowledge, find new collaboration opportunities, and establish yourself as an expert in your area of interest.
Submit your proposal by June 30, picking one of these talk tracks:
- Intelligent Applications – Tools and best practices to create graph-powered applications and APIs with any software stack and programming language.
- ML/AI – How to improve predictions and integrate the context of complex relationships into your ML training.
- Visualization – Techniques to investigate and represent the hidden, complex patterns in your datasets.
Have an idea, but not sure how to turn it into a presentation? Check out these standout talks from NODES 2022 for inspiration.
In the kickoff to NODES 2022, Nicholas Christakis shows how using social networks can change population behavior while demonstrating novel pair-targeting techniques.
Sebastian Müller’s interactive presentation demonstrates how to explore the contents of a Neo4j graph database visually, right inside Jupyter notebooks. He shows how to create awesome visualizations using basic Python and Cypher snippets.
William Lyon explains how graph databases can be used to make sense of geospatial data using algorithms and data visualization for a variety of use cases, from supply chain logistics to data journalism.
In this beginner’s session, Jason Koo provides an understanding of the technologies available to Python developers and how to integrate them with a graph database. (Watch the intro for the Monty Python reference, at the very least!)
Kateryna Nesvit’s lightning talk covers best practices for connecting Google Sheets in Neo4j to tell a graph data story, empower decisions, and drive success.
Starting with a clever analogy, Tomaz Bratanic shares node embedding techniques to reduce dimensions, which solves problems such as overfitting for ML models.
Niels De Jong takes the audience on a visualization journey as he explores how to visualize a graph on a map using NeoDash, an open-source dashboard builder for Neo4j.
Diving straight into the code, Christophe Willemsen unpacks the functionality of Docker and Neo4j. He starts with basic usage tips and ends with building custom images.
Anthony Krinsky shows how he built the Google Cloud DataFlow flex template using the Neo4j Java API, despite having used Neo4j only for one month!
In this advanced session, Sixing Huang outlines how his team developed an easy-to-use, cloud-native natural language chatbot called Doctor.ai – and how to apply their techniques to logistics, forestry, and other industries.
Looking for More Ideas?
You can also run your ideas by the community on this conference and event forum thread. You might even find someone who wants to collaborate on a presentation!
Reminder: The deadline is June 30 – we can’t wait to read your proposal!