Constructing a Knowledge Graph for the World's Largest Professional Network
Toronto Machine Learning Series (TMLS) via YouTube
Overview
Explore the process of building a Knowledge Graph for LinkedIn, the world's largest professional network, in this 52-minute conference talk by Qi He, Senior Director of Engineering at LinkedIn. Discover how deep NLP and GNN models are developed to extract and organize knowledge from noisy, implicit, and multilingual data in social networks. Learn about the challenges of holistically optimizing Knowledge Graphs and social networks, and how they influence each other through organic feedback loops. Gain insights into the lessons learned over nine years of constructing LinkedIn's Knowledge Graph, and understand how it empowers more than 20 products with significant business impact. Delve into the speaker's extensive experience in managing complex AI projects, driving adoption of cutting-edge Deep Learning and Natural Language Processing approaches in industry, and building strong organizations across geographies.
Syllabus
Constructing a Knowledge Graph for the World s Largest Professional Network
Taught by
Toronto Machine Learning Series (TMLS)