Understanding Massively Parallel Correlation Clustering In Bounded Arboricity Graphs
Let's dive into the details surrounding Massively Parallel Correlation Clustering In Bounded Arboricity Graphs. DISC 2021 — 35th International Symposium on Distributed Computing http://www.disc-conference.org/wp/disc2021/
Key Takeaways about Massively Parallel Correlation Clustering In Bounded Arboricity Graphs
- Introduced about 10 years ago by Bansal, Blum and Chawla,
- A behind-the-scenes chat with David Gleich, Tony Wirth, and Nate Veldt about our prevoius research projects on
- 00:00 - Introduction: Motivation and use cases 08:40 -
- Moses Charikar, Stanford University https://simons.berkeley.edu/talks/moses-charikar-09-15-17 Discrete Optimization via ...
- Date : 16 Sep 2022 Speaker : Alantha Newman (G-SCOP Laboratory in Grenoble, France) Description: Given a complete
Detailed Analysis of Massively Parallel Correlation Clustering In Bounded Arboricity Graphs
https://www.ideal.northwestern.edu/events/high-dimensional-analysis/ Almost 3-Approximate Francesco Gullo Boise State University Computing Ph.D. Colloquium. https://www.ideal.northwestern.edu/events/
Slobodan Mitrovic (UC Davis) https://simons.berkeley.edu/talks/slobodan-mitrovic-uc-davis-2024-07-30 Sublinear
That wraps up our extensive overview of Massively Parallel Correlation Clustering In Bounded Arboricity Graphs.