Keyword

large-scale graph processing

Description: Computational methods and systems for analyzing or transforming graphs with large numbers of vertices and edges.

Primary topic: Graph Theory and Algorithms (74%)

Related topic: Graph Theory and Algorithms (74%)

OpenAlex ID: keywords/large-scale-graph-processing

Aiding the detection of fake accounts in large scale social online services

2012 · Qiang Cao, Michael Sirivianos, et al. · 457

Fast discovery of connection subgraphs

2004 · Christos Faloutsos, Kevin S. McCurley, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 356

Computing Graph Neural Networks: A Survey from Algorithms to Accelerators

2021 · Sergi Abadal, Akshay Jain, et al. · ACM Computing Surveys · 286

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GridGraph: large-scale graph processing on a single machine using 2-level hierarchical partitioning

2015 · Xiaowei Zhu, Wentao Han, et al. · 261

k-nearest neighbors in uncertain graphs

2010 · Michalis Potamias, Francesco Bonchi, et al. · Proceedings of the VLDB Endowment · 236

Distributed k-Core Decomposition

2012 · Alberto Montresor, Francesco De Pellegrini, et al. · IEEE Transactions on Parallel and Distributed Systems · 185

Design patterns for efficient graph algorithms in MapReduce

2010 · Jimmy Lin, Michael Schatz · 167

ForeGraph

2017 · Guohao Dai, Tianhao Huang, et al. · ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) · 147

Asynchronous Large-Scale Graph Processing Made Easy

2013 · Guozhang Wang, Wenlei Xie, et al. · 143

Efficient (α, β)-core Computation: an Index-based Approach

2019 · Boge Liu, Long Yuan, et al. · 130

Large scale graph processing systems: survey and an experimental evaluation

2015 · Omar Batarfi, Radwa El Shawi, et al. · Cluster Computing · 116

Graph-based features for supervised link prediction

2011 · William Cukierski, Benjamin Hamner, et al. · 2022 International Joint Conference on Neural Networks (IJCNN) · 106

Finding maximal cliques in massive networks by H*-graph

2010 · James Cheng, Yiping Ke, et al. · Proceedings - ACM-SIGMOD International Conference on Management of Data · 103

Scalable subgraph enumeration in MapReduce

2015 · Longbin Lai, Lu Qin, et al. · Proceedings of the VLDB Endowment · 101

Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable

2018 · Laxman Dhulipala, Guy E. Blelloch, et al. · 97

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Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation

2011 · U Kang, Brendan Meeder, et al. · Lecture notes in computer science · 88

Fast Iterative Graph Computation: A Path Centric Approach

2014 · Pingpeng Yuan, Wenya Zhang, et al. · 2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 78

Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable

2021 · Laxman Dhulipala, Guy E. Blelloch, et al. · ACM Transactions on Parallel Computing · 70

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HubPPR

2016 · Sibo Wang, Youze Tang, et al. · Proceedings of the VLDB Endowment · 70

iHadoop: Asynchronous Iterations for MapReduce

2011 · Eslam Elnikety, Tamer Elsayed, et al. · IEEE International Conference on Cloud Computing Technology and Science · 64

Scalable subgraph enumeration in mapreduce

2015 · Lai, L, Qin, L, et al. · UTS ePRESS (University of Technology Sydney) · 59

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PREDIcT

2013 · Adrian Daniel Popescu, Andrey Balmin, et al. · Proceedings of the VLDB Endowment · 58

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Distributed Memory Breadth-First Search Revisited: Enabling Bottom-Up Search

2013 · Scott Beamer, Aydin Buluc, et al. · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 58

Using Pregel-like Large Scale Graph Processing Frameworks for Social Network Analysis

2012 · L. Quick, P. Wilkinson, et al. · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 57

PecanPy: a fast, efficient and parallelized Python implementation of node2vec

2021 · Renming Liu, Arjun Krishnan · Bioinformatics · 53

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Works count: 372

Citation count: 5,665