Core-Periphery Structure in Networks (Revisited)
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January 2017
The maximum concurrent flow problem
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April 1990
A data structure for dynamic trees
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June 1983
Flow-Based Algorithms for Local Graph Clustering
conference
December 2013
Fast discovery of connection subgraphs
Faloutsos, Christos; McCurley, Kevin S.; Tomkins, Andrew
Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '04
https://doi.org/10.1145/1014052.1014068
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January 2004
Heat kernel based community detection
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August 2014
Dynamics over Signed Networks
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January 2019
Nonlinear total variation based noise removal algorithms
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November 1992
Convex Optimization
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January 2004
Diffuse Interface Models on Graphs for Classification of High Dimensional Data
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January 2016
Overlapping community detection in networks: The state-of-the-art and comparative study
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August 2013
Communities from seed sets
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May 2006
Electrical flows, laplacian systems, and faster approximation of maximum flow in undirected graphs
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January 2011
A Local Clustering Algorithm for Massive Graphs and Its Application to Nearly Linear Time Graph Partitioning
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January 2013
Empirical comparison of algorithms for network community detection
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January 2010
PageRank Beyond the Web
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January 2015
An approximate max-flow min-cut theorem for uniform multicommodity flow problems with applications to approximation algorithms
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January 1988
Mesh Partitioning: A Multilevel Balancing and Refinement Algorithm
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January 2000
A new approach to computing maximum flows using electrical flows
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January 2013
Parallel local graph clustering
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August 2016
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
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January 1998
Fast Random Walk with Restart and Its Applications
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December 2006
Graph Cuts and Efficient N-D Image Segmentation
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November 2006
On Nonlinear Fractional Programming
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March 1967
Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms
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August 2015
Polynomial Time Algorithms for Ratio Regions and a Variant of Normalized Cut
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May 2010
Partitioning Sparse Matrices with Eigenvectors of Graphs
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July 1990
Fast Solution of $\ell _{1}$-Norm Minimization Problems When the Solution May Be Sparse
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November 2008
Engineering Multilevel Graph Partitioning Algorithms
book
January 2011
Uncovering the overlapping community structure of complex networks in nature and society
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June 2005
Statistical ranking using the $l^{1}$-norm on graphs
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January 2013
Opinion Dynamics and the Evolution of Social Power in Influence Networks
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January 2015
Hypergraph Cuts with General Splitting Functions
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August 2022
Gradient-based learning applied to document recognition
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January 1998
What energy functions can be minimized via graph cuts?
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February 2004
Minimizing Localized Ratio Cut Objectives in Hypergraphs
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August 2020
A multilevel algorithm for partitioning graphs
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January 1995
Efficient Graph-Based Image Segmentation
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September 2004
JOSTLE - Multilevel Graph Partitioning Software: An Overview
book
Maximal flow through a domain
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June 1983
Extracting insights from the shape of complex data using topology
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February 2013
Partitioning of unstructured problems for parallel processing
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January 1991
Relax, No Need to Round
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January 2015
Clustering - What Both Theoreticians and Practitioners Are Doing Wrong
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April 2018
Higher-order organization of complex networks
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July 2016
Social structure of Facebook networks
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August 2012
A Local Graph Partitioning Algorithm Using Heat Kernel Pagerank
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January 2009
A Matrix Iteration for Dynamic Network Summaries
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January 2013
A Polynomial Time Algorithm for Rayleigh Ratio on Discrete Variables: Replacing Spectral Techniques for Expander Ratio, Normalized Cut, and Cheeger Constant
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February 2013
A Flow-Based Method for Improving the Expansion or Conductance of Graph Cuts
book
January 2004
Uncovering the Small Community Structure in Large Networks
conference
May 2015
Scalable Motif-aware Graph Clustering
conference
April 2017
Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm
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January 2009
Community membership identification from small seed sets
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August 2014
Random walks and local cuts in graphs
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May 2007
An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
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September 2004
A Fast Parametric Maximum Flow Algorithm and Applications
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February 1989
Faster energy maximization for faster maximum flow
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June 2020
Fast unfolding of communities in large networks
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October 2008
LEMON – an Open Source C++ Graph Template Library
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July 2011
Variational perspective on local graph clustering
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December 2017
Network Properties Revealed through Matrix Functions
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January 2010
Design and Analysis of Experiments in Networks: Reducing Bias from Interference
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February 2016
Least angle regression
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April 2004
Max flows in O(nm) time, or better
conference
June 2013
Learning Resolution Parameters for Graph Clustering
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May 2019
A tutorial on spectral clustering
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August 2007
Parallel Multilevel series k-Way Partitioning Scheme for Irregular Graphs
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January 1999
Mapping the Similarities of Spectra: Global and Locally-Biased Approaches to sdss Galaxies
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December 2016
Stability of graph communities across time scales
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June 2010
Maximum flows and minimum cuts in the plane
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September 2009
Network Modularity in the Presence of Covariates
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January 2019
Efficient identification of Web communities
Flake, Gary William; Lawrence, Steve; Giles, C. Lee
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
https://doi.org/10.1145/347090.347121
conference
August 2000
Beyond the flow decomposition barrier
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September 1998
Efficient maximum flow algorithms
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August 2014
Communicability Angle and the Spatial Efficiency of Networks
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January 2016
Modularity and community structure in networks
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May 2006
Chance-Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty
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January 2014
Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion
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May 2016
An Optimization Approach to Locally-Biased Graph Algorithms
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February 2017
Local Graph Clustering With Network Lasso
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January 2021
A Combined Evolutionary Search and Multilevel Optimisation Approach to Graph-Partitioning
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June 2004
Configuring Random Graph Models with Fixed Degree Sequences
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January 2018
Robust multi-class transductive learning with graphs
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June 2009
Hierarchy and adaptivity in segmenting visual scenes
journal
June 2006
Networks
book
March 2010
A study on continuous max-flow and min-cut approaches
conference
June 2010
Measurement and analysis of online social networks
conference
January 2007
Multistate Dynamical Processes on Networks: Analysis through Degree-Based Approximation Frameworks
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January 2019
Comparing Community Structure to Characteristics in Online Collegiate Social Networks
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January 2011
The ground truth about metadata and community detection in networks
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May 2017
Clustering Objects on Subsets of Attributes (with Discussion)
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October 2004
An r -Dimensional Quadratic Placement Algorithm
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November 1970
New spectral methods for ratio cut partitioning and clustering
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January 1992
Local Higher-Order Graph Clustering
Yin, Hao; Benson, Austin R.; Leskovec, Jure
KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
https://doi.org/10.1145/3097983.3098069
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August 2017
Euclidean Distance Geometry and Applications
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January 2014
Local Graph Partitioning using PageRank Vectors
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October 2006
An Improved Spectral Graph Partitioning Algorithm for Mapping Parallel Computations
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March 1995
scikit-image: image processing in Python
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January 2014
Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters
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January 2009
Multicommodity max-flow min-cut theorems and their use in designing approximation algorithms
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November 1999
Statistical properties of community structure in large social and information networks
conference
January 2008
Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization
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December 2019
A Foreground Extraction Approach Using Convolutional Neural Network with Graph Cut
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June 2018
Normalized cuts and image segmentation
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January 2000
The heat kernel as the pagerank of a graph
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December 2007
Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
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January 2006
Think locally, act locally: Detection of small, medium-sized, and large communities in large networks
journal
January 2015
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
journal
February 2006
The MIPS mammalian protein-protein interaction database
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November 2004
Auction dynamics: A volume constrained MBO scheme
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February 2018