Fraudsters and key customers often go unnoticed, hidden in plain sight. Entity Resolution (ER) is the key to uncovering these connections by seamlessly linking data across sources. It transforms chaotic datasets into actionable insights—and ultimately, into a state of data clarity. In this session, Paco Nathan, a renowned industry expert, explores the transformative power of ER through major use cases and real-world challenges.
How do you build a knowledge graph that processes millions of new entities and relationships every day—and make it easy to explore through natural conversation? In this talk, Rob Caulk, the founder of Emergent Methods and open source veteran with over 1000 academic citations, will share how their team fine-tuned Phi-3-mini-4k to outperform Claude Sonnet 3.5 in graph extraction for dynamic knowledge wrangling at scale.
According to open source libraries for GraphRAG, a dominant notion is: "Just use an LLM to generate a graph automatically, which should be good enough to use." For those working with graphs in regulated environments or mission-critical apps, this isn't appropriate. There's a larger question: How can we build KGs from both structured and unstructured data sources, and keep human expert reviews in the loop, while taking advantage of LLMs and other deep learning models?
Evaluating how well someone gathers, interprets, and acts on environmental factors is difficult. Graphs offer us a way to transform how we understand those skills! Traditional skill-based assessments employ naive encodings that neglect broad equivalence classes. Graph-based encodings enable us to reason about context, giving a powerful new way to evaluate near-equivalent outcomes.
Curious about the intersection of graphs and Generative AI? Confused by terms like Graph RAG, semantic search, and retrievers? Watch this GraphGeeks talk for a comprehensive introduction to the powerful combination of Graphs and LLMs, featuring the Neo4j property graph model. Véronique Gendner, an expert with over 25 years of programming and data processing experience shares her learning journey with a visual and accessible exploration of these concepts.
The Year of the Graph is a central node for all things Graph. A collection of resources, a graph database report, and a biannual newsletter, all curated by George Anadiotis: Analyst, Consultant, Engineer, Founder, Researcher, Writer.
Graphs are changing the way we model, store, and query complex data.
But when it comes to choosing the right type of graph model, the decision often boils down to two major contenders: Resource Description Framework (RDF) and Labelled Property Graphs (LPG).
Each has its own unique strengths, use cases, and challenges.
How do we go from graph data management to analytics and communication?
What can visualization help in each of those steps?
What are some specific needs from visualization?
What is the role of schema?
Those are the questions we will discuss in the talk.
Let's dive into a fusion of word embeddings, similarity measures, and graph exploration!
Join Michelle Yi to explore the world of Japanese Kanji using an approach similar to density-based clustering on top of word embeddings and cosine similarity.
This approach allows us to look at the relationship between concepts and also enables graph analysis.
Learn how to ensure success for your graph projects and team!
To be successful, there are four key elements that need to be in place: the right data culture, graph problem, data, and team.
Learn about using interconnected data to explore power in networks with examples from IT, social, and financial systems.
We cover centrality's applications, like combating terrorism and cyberattacks, and strategies for enacting change beyond predictive analytics.
We also look at how this science of measuring importance is evolving to be more readily applied to different needs.
Join this GraphGeeks Talk with Sören Klein to learn about the Ember Nexus API.
This project strives to create a minimal set of endpoints to interact with your data, which allows building increasingly complex interactions - similar to the game of life. Instead of being universal in the sense that every imaginable variant is exposed, it just simplifies access to your data.
