Explore real-time graph analytics with Raphtory in this workshop from AI UK 2022. Learn about adding time to graphs, social network examples, and key intuitions behind the technology. Dive into code walkthroughs, running analyses, and using Pulsar. Discover future developments including time propagation, range queries, historical properties, and batch loaders. Gain insights into query languages, graph space, mixer services, connectors, and Apache Arrows. Understand the chain of money transfer and engage in a Q&A session to deepen your knowledge of this cutting-edge graph analytics tool.
Overview
Syllabus
Intro
What is Raphtory
The key intuition
Social network example
Adding time to graphs
How does it work
Graph analytics
Code walkthrough
Running analysis
Using Pulsar
Whats on the horizon
Questions
Time propagation
Range queries
Historical properties
Batch loader
Analysis
Query language
Graph space
Mixer services
Connectors
Apache Arrows
Chain of money transfer
Taught by
Alan Turing Institute
