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Large Scale Graph Mining with Spark: What I learned from mapping 15 million websites
Large Scale Graph Mining with Spark: What I learned from mapping 15 million websites
Graph Mining Lecture Series: Part-4
Graph Mining Lecture Series: Part-4
A Two Phase Algorithm for Differentially Private Frequent Sub graph Mining
A Two Phase Algorithm for Differentially Private Frequent Sub graph Mining
Graph Mining with Deep Learning - Ana Paula Appel (IBM)
Graph Mining with Deep Learning - Ana Paula Appel (IBM)
Context Matters: Distributed Graph Algorithms and Runtime Systems
Context Matters: Distributed Graph Algorithms and Runtime Systems
ISCA'22 - Session 2B - Graph Applications
ISCA'22 - Session 2B - Graph Applications
ISCA'23 - Lightning Talks - Session5B - Shogun: A Task Scheduling Framework for Graph Mining Acceler
ISCA'23 - Lightning Talks - Session5B - Shogun: A Task Scheduling Framework for Graph Mining Acceler
4   2   3 2 Distributed Graph Processing  Distributed Graph Processing 00 16 47
4 2 3 2 Distributed Graph Processing Distributed Graph Processing 00 16 47
AutoMine: Harmonizing High-Level Abstraction and High Performance for Graph Mining
AutoMine: Harmonizing High-Level Abstraction and High Performance for Graph Mining
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra
[EuroSys'21] Tesseract: Distributed, General Graph Pattern Mining on Evolving Graphs (Long)
[EuroSys'21] Tesseract: Distributed, General Graph Pattern Mining on Evolving Graphs (Long)

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Last Updated: September 29, 2026

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Information Google Graph Mining and Learning @ NeurIPS 2020: Distributed Graph Mining -- Jakub “Kuba” Łącki Update
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Authors: Carlos H. C. Teixeira, Alexandre J. Fonseca, Marco Serafini, Georgos Siganos, Mohammed J. Zaki, Ashraf Aboulnaga ... 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, Talk Slides: drive.google.com/open?id=1nm3jU2sjLxoatWTenffraN3a6xt0QEE8 Deep learning is widely use in several ... In this video from the PASC16 conference, Andrew Lumsdaine from Indiana University presents: Context Matters: 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 ... SOSP 2019 D3-S2-P1 sosp19.rcs.uwaterloo.ca/program.html. Speaker: Maciej Besta Venue: VLDB'21 Abstract: We propose GraphMineSuite (GMS): the first benchmarking suite for

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