Moe Kayali

I'm a PhD student in the database group at the University of Washington, Seattle. I work on discovering new techniques to accelerate data management and make its results more trustworthy.

Talks:

14:30 UTC

Analyzing Large Graphs with QuasiStableColors.jl

07/27/2023, 2:30 PM3:00 PM UTC
32-123

Graphs (aka networks) are a key part of the data science pipeline at many organizations. However, scalability is the most frequently reported limitation by graph analysts. I introduce QuasiStableColors.jl, a Julia library for approximate graph analysis. On tasks such as ranking node importance (centrality) it enables an over 10x speedup while introducing less than 5% error. In this talk, I will demonstrate how to use this novel graph compression for your own workloads.

Platinum sponsors

JuliaHub

Gold sponsors

ASML

Silver sponsors

Pumas AIQuEra Computing Inc.Relational AIJeffrey Sarnoff

Bronze sponsors

Jolin.ioBeacon BiosignalsMIT CSAILBoeing

Academic partners

NAWA

Local partners

Postmates

Fiscal Sponsor

NumFOCUS