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Tutorial 3: Systems and Algorithms for Massively Parallel Graph Mining: Part II (IEEE BigData 2020)
Large Scale Graph Mining with Spark: What I learned from mapping 15 million websites
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off (ICDM 2020)
Graph Mining
Google Graph Mining and Learning @ NeurIPS 2020: Distributed Graph Mining -- Jakub “Kuba” Łącki
OSDI '22 - Efficient and Scalable Graph Pattern Mining on GPUs
Google Graph Mining and Learning @ NeurIPS 2020: Label Propagation -- Allan Heydon
KDD2020: DEEP LEARNING DAY: Graph Mining Hamilton
Google Graph Mining and Learning @ NeurIPS 2020: Scaling GNNs - Amol Kapoor
Graph Mining: Laws, Generators & Tools
Google Graph Mining and Learning @ NeurIPS 2020: Similarity Ranking -- Alessandro Epasto
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Last Updated: October 18, 2026
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Summary
This video gives an intuitive introduction to frequent This is presented by Da Yan: yanlab19870714.github.io/yanda The tutorial is ... Speaker: Win Suen As the web grows ever larger and more content-rich, A promotion video of Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos, "Autonomous In this talk, Jakub Łącki describes the challenges and techniques for processing trillion-edge OSDI '22 - Efficient and Scalable In this talk, Allan Heydon describes one of Google's systems for doing large-scale semi-supervised learning via label propagation. In this talk, Amol Kapoor talks about some of the challenges with running GNNs at scale, and presents a solution called PPRGo. Prof. Christos Faloutsos Carnegie Mellon University October 15, 2007 -_-_-_-_-_-_-_-_-_-_-_- Samuel D. Conte Distinguished ... In this talk, Alessandro Epasto addresses the following question: how can we measure the similarity of two nodes in a