Curious about what algorithms are being developed at Google? Ready to learn more about how their algorithms extract information and scale to graphs with billions of nodes? In this talk, Google research scientist Silvio Lattanzi will introduce Graph Mining and Learning, a fundamental area of research in the theoretical computer science and machine learning domains. We will touch on what graphs are, why they are important, and where they appear in the world of big data. The talk will then dive into the core tools that make up the Graph Mining and Learning toolbox, and lay out several canonical use cases. It will also touch upon discussion of how to combine algorithms, systems, and machine learning to build a scalable graph-based learning system in different distributed environments. Join us on 19th January from 6pm to 7pm (CET) to gain insights into the development of time and space efficient graph algorithms and their application to a multitude of Google products such as Search, YouTube, AdWords, Play, Maps, and Social! We look forward to seeing you there! Main Organizer: Jeff Giliberti
Research Scientist
ETH Zurich
GDSC Lead
ETH Zürich
GDSC Lead
ETH Zürich
GDSC Lead
Core Team Member
ETH Zurich
Core Team Member
ETH Zurich
Core Team Member
Core Team Member
Core Team Member
Core Team Member
ETH
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
ETH Zürich
Core Team Member
Core Team Member