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Keyword

large-scale graphs

Description: Graphs containing very many vertices and edges, studied in areas such as network analysis, machine learning, clustering, and efficient algorithms.
OpenAlex ID: keywords/large-graphs
Inductive Representation Learning on Large Graphs
2017 · Hamilton, William L., Ying, Rex, et al. · arXiv (Cornell University) · 9,516
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Graph Convolutional Neural Networks for Web-Scale Recommender Systems
2018 · Rex Ying, Ruining He, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 3,732
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Scalable influence maximization for prevalent viral marketing in large-scale social networks
2010 · Wei Chen, Chi Wang, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 1,761
Weisfeiler-Lehman Graph Kernels
2010 · Nino Shervashidze, Pascal Schweitzer, et al. · Max Planck Digital Library · 1,611
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A (sub)graph isomorphism algorithm for matching large graphs
2004 · L.P. Cordella, P. Foggia, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,484
An open graph visualization system and its applications to software engineering
2000 · Emden R. Gansner, Stephen C. North · Software Practice and Experience · 1,275
Open Graph Benchmark: Datasets for Machine Learning on Graphs
2020 · Hu, Weihua, Fey, Matthias, et al. · arXiv (Cornell University) · 1,240
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Fast Random Walk with Restart and Its Applications
2006 · Hanghang Tong, Christos Faloutsos, et al. · Proceedings · 1,231
Sampling from large graphs
2006 · Jure Leskovec, Christos Faloutsos · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 1,190
An optimal graph theoretic approach to data clustering: theory and its application to image segmentation
1993 · Z. Wu, R. Leahy · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,137
A random graph model for massive graphs
2000 · William Aiello, Fan Chung, et al. · ACM Symposium on Theory of Computing (STOC) · 926
Graph clustering based on structural/attribute similarities
2009 · Yang Zhou, Hong Cheng, et al. · Proceedings of the VLDB Endowment · 865
Ligra
2013 · Julian Shun, Guy E. Blelloch · ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming · 799
Distributed large-scale natural graph factorization
2013 · Amr Ahmed, Nino Shervashidze, et al. · International World Wide Web Conference (WWW) · 670
Using tabu search techniques for graph coloring
1987 · A. Hertz, D. de Werra · Computing · 657
Estimation and Prediction for Stochastic Blockmodels for Graphs with Latent Block Structure
1997 · Tom A.B. Snijders, Krzysztof Nowicki · Journal of Classification · 656
Large-Scale Learnable Graph Convolutional Networks
2018 · Hongyang Gao, Zhengyang Wang, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 639
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PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations
2009 · U. Kang, Charalampos E. Tsourakakis, et al. · Proceedings · 630
GraphX
2013 · Reynold S. Xin, Joseph E. Gonzalez, et al. · 581
GraphSAINT: Graph Sampling Based Inductive Learning Method
2019 · Zeng, Hanqing, Zhou, Hongkuan, et al. · arXiv (Cornell University) · 573
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Vizster: Visualizing Online Social Networks
2006 · J. Heer, D. Boyd · IEEE Symposium on Information Visualization · 556
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
2018 · You, Jiaxuan, Ying, Rex, et al. · arXiv (Cornell University) · 537
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Link Prediction via Matrix Factorization
2011 · Aditya Krishna Menon, Charles Elkan · Lecture notes in computer science · 530
An exact algorithm for the maximum clique problem
1990 · Randy Carraghan, Panos M. Pardalos · Operations Research Letters · 523
Reachability and Distance Queries via 2-Hop Labels
2003 · Edith Cohen, Eran Halperin, et al. · SIAM Journal on Computing · 518
Works count: 5,971
Citation count: 118,500
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