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Distributed Graph Mining: Theory and Practice
Google Graph Mining and Learning @ NeurIPS 2020: Distributed Graph Mining -- Jakub “Kuba” Łącki
Large Scale Graph Mining with Spark: What I learned from mapping 15 million websites
ISCA'22 - Session 2B - Graph Applications
ISCA'23 - Lightning Talks - Session5B - Shogun: A Task Scheduling Framework for Graph Mining Acceler
Graph Mining with Deep Learning - Ana Paula Appel (IBM)
Google Graph Mining and Learning @ NeurIPS 2020: Label Propagation -- Allan Heydon
Introduction to PEGASUS, a Peta-Scale Graph Mining System
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Last Updated: October 18, 2026
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Authors: Carlos H. C. Teixeira, Alexandre J. Fonseca, Marco Serafini, Georgos Siganos, Mohammed J. Zaki, Ashraf Aboulnaga ... This is presented by Da Yan: yanlab19870714.github.io/yanda The tutorial is ... Author: Vahab S. Mirrokni, Research at Google, Google, Inc. More on kdd.org/kdd2017/ KDD2017 Conference is ... In this talk, Jakub Łącki describes the challenges and techniques for processing trillion-edge Speaker: Win Suen As the web grows ever larger and more content-rich, ISCA'22: The 49th International Symposium on Computer Architecture Session 2B: ISCA'23: The 50th International Symposium on Computer Architecture Lightning Talks - Session5B: Domain Specific Accelerators ... Talk Slides: drive.google.com/open?id=1nm3jU2sjLxoatWTenffraN3a6xt0QEE8 Deep learning is widely use in several ... In this talk, Allan Heydon describes one of Google's Authors: Aristides Gionis, Charalampos E. Tsourakakis Abstract: Finding dense subgraphs is a fundamental
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