Graph Gurus Data Science Library Series Part 1: Fundamentals

Ready to grow your graph data science skills? In this webinar series, we show you how to use the 50+ algorithms in TigerGraph's Graph Data Science Library that span Dependencies, Clustering, Similarity, Matching/Patterns, Flow, Centrality, and Search to develop your next graph solution.

Part 1 - "Fundamentals of TigerGraph’s Data Science Library" covers:
An overview of our Graph Data Science Library
- Example Use Cases
- Explanation of Features and Technology
- Demos of Key Graph Algorithms: Louvain, Cosine Similarity, WCC and PageRank

Presenters:
Victor Lee, TigerGraph VP of Machine Learning and AI
Xinyu Chang, TigerGraph Director of Customer Success