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Large-scale graphs with Google(TM) Pregel by MICHAEL HACKSTEIN at Big Data Spain 2014
Introduction to Large-scale Graph processing (part 2) - Felix Cuadrado
Deploying Massive Scale Graphs for Real Time Insights
Experience and Lessons for Large Scale Graph Analysis- Jason (Jinquan) Dai (Intel)
Exploiting the Computation Graph for Large Scale Distributed Machine Learning
Pregel: A Distributed System for Large-Scale Graph Processing
How Google Operates Graphs at Scale: Spanner & BigQuery Graph | Piyush Mathur & Bei Li | GraphCon
Graph_Partitioning.avi
PowerLyra: differentiated graph computation and partitioning on skewed graphs
Grid Graph Signal Processing: Theory and Practical Applications
OSDI '21 - Marius: Learning Massive Graph Embeddings on a Single Machine
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Last Updated: October 1, 2026
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Xiaowei Zhu, Wentao Han, and Wenguang Chen, Tsinghua University Presented at USENIX ATC '15. Claudio Martella (Google Sciengineer, twitter.com/claudiomartella) presents the talk:" Nima Elyasi, The Pennsylvania State University; Changho Choi, Samsung Semiconductor Inc.; Anand Sivasubramaniam, The ... Yeah right um so the algorithm has that the system considers the computation is over in bigdataspain.org Abstract: bigdataspain.org/2014/conference/ CIS Spring Camp 2016 Introduction to Author: S.V.N. Vishwanathan, Department of a proprietary system developed by Google for the high-efficiency In this session from GraphCon Seattle 2026, Piyush Mathur (Product Manager, Google Spanner) and Bei Li (Sr. Staff Engineer, ... Authors: Rong Chen, Jiaxin Shi, Yanzhe Chen, Haibo Chen Abstract: Natural SPEAKER: Anna Scaglione (M.Sc.'95, Ph.D. '99) is currently a Professor of Electrical,
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