Optimized Counting of Common Neighbors/Vertices in GSQL
By Prateek AgrawalGraph analytics plays a crucial role in finding hidden relationships within large datasets. One fundamental operation in this domain is calculating the number of common neighbors between pairs…
Utilizing Multi-edge for Temporal Search in a Sales Agent Hierarchy
Introduction Hello everyone! I'm Xuanlei Lin. I have worked as a solution engineer at TigerGraph for two years and as a customer success consultant for another two years. Throughout this…
Advancing Entity Resolution for Fraud Detection with TigerGraph
First in our series of blogs straight from our engineers to you. In today's digitally interconnected world the proliferation of data has presented both unprecedented opportunities and challenges. One of…
Using Graph Machine Learning to Improve Fraud Detection Rates
by Parker Erickson Fraud comes in all shapes and forms across many industries; from account takeovers, to transaction fraud, the financial services industry to healthcare, fraud is both prevalent and…
Integrating TigerGraph and Large Language Models for Generative AI
by Parker Erickson Introduction to Large Language Models Generative AI and Large Language Models are on everyone's mind - they have been proven to be very useful tools for general…
Graph-Powered Analytics: Why You Need It and How to Learn It
Businesses need to stay ahead of the competition, to cut losses, and to find more revenue. By looking at their data as a network and then analyzing the connections –…