![[EuroSys'21] Tesseract: Distributed, General Graph Pattern Mining on Evolving Graphs (Short)](https://i.ytimg.com/vi/1_N0NHe1fTI/mqdefault.jpg)
![[EuroSys'21] Tesseract: Distributed, General Graph Pattern Mining on Evolving Graphs (Long)](https://i.ytimg.com/vi/C8XdmSTvXHM/mqdefault.jpg)
Data is compiled from public records and verified media reports.
Last Updated: October 18, 2026
Disclaimer: Disclaimer: All information is compiled from publicly available data, media reports, and analysis. Actual details may vary.
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 This is presented by Guimu Guo: guimuguo.github.io/ The tutorial is ... In this talk, Vahab Mirrokni, the founder of the In this talk, Alessandro Epasto addresses the following question: how can we measure the similarity of two nodes in a In this talk, Allan Heydon describes one of Google's systems for doing large-scale semi-supervised learning via label propagation. However, these platforms do not represent a good match for
Size: 2.27 MB · Format: PDF · Secure Download
Our platform aggregates the most comprehensive and up-to-date insights, ensuring you get relevant details about Distributed Graph Mining Theory And Practice.
Interest in Distributed Graph Mining Theory And Practice has surged recently as more people seek reliable resources, related media, and detailed analysis.
You can explore extensive galleries, video summaries, and related content directly on this page.
We regularly update our database with the latest information, media, and analysis related to Distributed Graph Mining Theory And Practice.