Neo4j Live: Rethinking Data: A Data Scientist’s First Dive into GQLs

Описание: What happens when a computer vision expert explores graph databases for the first time?

Suha, a data scientist with a background in generative models, embeddings, and neural networks, steps into the world of graph thinking and graph query languages (GQLs). In this session, she shares her hands-on journey of modeling a public face recognition dataset (such as CelebA-HQ) as a graph - connecting people, facial attributes, and features in entirely new ways.

You will see:
Transform tabular and image-based data into a graph structure
Experiment with graph tools and GQLs
Query connected data to uncover patterns hidden in flat tables
Rethink how relationships shape machine learning workflows

If you come from SQL, Python, or an ML background and are curious about graph technology but don’t know where to start, this talk gives you a practical, beginner-friendly roadmap to launching your first graph-powered project.


Speaker: Suha Mokalla

LinkedIn:   / suha-mokalla-ph-d-aa7612107  
GraphAcademy https://dev.neo4j.com/learn
CelebA dataset: https://www.kaggle.com/datasets/jessi...
Neo4j AuraDB: https://dev.neo4j.com/discover-aura

#neo4j #graphdatabase #KnowledgeGraph #genai #llm #datascience #ml