Introduction of Large Scale Evolving Graph Analysis
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How Google Operates Graphs at Scale: Spanner & BigQuery Graph | Piyush Mathur & Bei Li | GraphCon
Extreme-scale Graph Analysis on Blue Waters -- George Slota, Pennsylvania State University
[EuroSys'21] Tesseract: Distributed, General Graph Pattern Mining on Evolving Graphs (Long)
Running Large Graph Algorithms: Evaluation of Current State-Of-the-Art and Lessons Learned
DIMACS Sublinear Workshop: Vahab Mirrokni - Large-scale Graph Mining at Google NYC
Introduction to Graph processing at Planet Scale (Pregel, Giraph) | Ep. 9 | #KaaS-pod
NSDI '21 - TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs
Graphlab Workshop: Large-Scale Graph Clustering in MapReduce and Beyond
Large-scale graphs with Google(TM) Pregel by MICHAEL HACKSTEIN at Big Data Spain 2014
Borislav Iordanov - Large Scale Graph Analytics
Time evolving Graph Processing on Commodity Clusters: Spark Summit East talk by Anand Iyer
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Last Updated: September 29, 2026
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Summary
Luana Ruiz (University of Pennsylvania) simons.berkeley.edu/node/22611 OSDI '26 - Efficient GPU-Centric In this session from GraphCon Seattle 2026, Piyush Mathur (Product Manager, Google Spanner) and Bei Li (Sr. Staff Engineer, ... Tesseract is the first distributed system for executing general Google Tech Talk February 11, 2010 ABSTRACT Presented by Dr. Andy Yoo, Lawrence Livermore National Laboratory. Vahab Mirrokni of Google Research presents his talk " cpp.rougneuron.in Disclaimer: The audio is generated using curated resources summarized by Google NotebookLM. We evaluate TEGRA against existing 2nd GraphLab Workshop, Prof. Vahab Mirrokni, Google. bigdataspain.org Abstract: bigdataspain.org/2014/conference/