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OSDI '22 - Efficient and Scalable Graph Pattern Mining on GPUs
Frequent Subgraph Mining
Large Scale Graph Mining with Spark: What I learned from mapping 15 million websites
Graph Mining
Google Graph Mining and Learning @ NeurIPS 2020: Distributed Graph Mining -- Jakub “Kuba” Łącki
Graph Mining: Laws, Generators & Tools
Google Graph Mining and Learning @ NeurIPS 2020: Grale -- Jonathan Halcrow
Google Graph Mining and Learning @ NeurIPS 2020: Scaling GNNs - Amol Kapoor
Google Graph Mining and Learning @ NeurIPS 2020: GNNs in Tensorflow -- Martin Blais
Spectral algorithms for graph mining and analysis Yiannis Koutis
Graph Mining Lecture Series: Part-5
Deep Dive
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Last Updated: October 31, 2026
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Summary
A promotion video of Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos, "Autonomous OSDI '22 - Efficient and Scalable This video gives an intuitive introduction to frequent Speaker: Win Suen As the web grows ever larger and more content-rich, In this talk, Jakub Łącki describes the challenges and techniques for processing trillion-edge Prof. Christos Faloutsos Carnegie Mellon University October 15, 2007 -_-_-_-_-_-_-_-_-_-_-_- Samuel D. Conte Distinguished ... In this talk, Jonathan Halcrow discusses the Grale In this talk, Amol Kapoor talks about some of the challenges with running GNNs at scale, and presents a solution called PPRGo. In this talk, Martin Blais discusses the infrastructure required to train Spectral algorithms have long been recognized as a signifi-cant tool in the analysis and