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Topics in optimization and sparse linear systems
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Multicommodity max-flow min-cut theorems and their use in designing approximation algorithms
Journal of the ACM (JACM)
Fast computation of low rank matrix approximations
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Performance evaluation of a new parallel preconditioner
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Preface: A brief overview of network algorithms
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A local algorithm for finding dense subgraphs
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A recommender system based on local random walks and spectral methods
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Faster approximate lossy generalized flow via interior point algorithms
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Graph sparsification by effective resistances
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Proceedings of the twentieth annual symposium on Parallelism in algorithms and architectures
Perfect matchings via uniform sampling in regular bipartite graphs
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
A Local Graph Partitioning Algorithm Using Heat Kernel Pagerank
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Fast dynamic reranking in large graphs
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Detecting Overlapping Community Structures in Networks
World Wide Web
A Recommender System Based on Local Random Walks and Spectral Methods
Advances in Web Mining and Web Usage Analysis
Finding sparse cuts locally using evolving sets
Proceedings of the forty-first annual ACM symposium on Theory of computing
Proceedings of the forty-first annual ACM symposium on Theory of computing
Max cut and the smallest eigenvalue
Proceedings of the forty-first annual ACM symposium on Theory of computing
Graph partitioning using single commodity flows
Journal of the ACM (JACM)
Fitting a graph to vector data
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Semi-supervised orthogonal discriminant analysis via label propagation
Pattern Recognition
Ranking with local regression and global alignment for cross media retrieval
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Robust label propagation on multiple networks
IEEE Transactions on Neural Networks
Perfect matchings via uniform sampling in regular bipartite graphs
ACM Transactions on Algorithms (TALG)
VECPAR'06 Proceedings of the 7th international conference on High performance computing for computational science
Detecting sharp drops in PageRank and a simplified local partitioning algorithm
TAMC'07 Proceedings of the 4th international conference on Theory and applications of models of computation
TAMC'07 Proceedings of the 4th international conference on Theory and applications of models of computation
Local computation of PageRank contributions
WAW'07 Proceedings of the 5th international conference on Algorithms and models for the web-graph
Extensions and limits to vertex sparsification
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Subgraph sparsification and nearly optimal ultrasparsifiers
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Almost tight bounds for rumour spreading with conductance
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Local computation of nearly additive spanners
DISC'09 Proceedings of the 23rd international conference on Distributed computing
A local algorithm for finding dense subgraphs
ACM Transactions on Algorithms (TALG)
Fast nearest-neighbor search in disk-resident graphs
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Expert Systems with Applications: An International Journal
Additive spanners and (α, β)-spanners
ACM Transactions on Algorithms (TALG)
Rumour spreading and graph conductance
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Sparse reliable graph backbones
ICALP'10 Proceedings of the 37th international colloquium conference on Automata, languages and programming: Part II
Hierarchical Diagonal Blocking and Precision Reduction Applied to Combinatorial Multigrid
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Local graph sparsification for scalable clustering
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A general framework for graph sparsification
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Directed spanners via flow-based linear programs
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Fault-tolerant spanners: better and simpler
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A breakthrough in algorithm design
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SlimCuts: graphcuts for high resolution images using graph reduction
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
Random partial paired comparison for subjective video quality assessment via hodgerank
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Spectral Sparsification of Graphs
SIAM Journal on Computing
Hearing the clusters of a graph: A distributed algorithm
Automatica (Journal of IFAC)
Sparse reliable graph backbones
Information and Computation
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Graph based semi-supervised learning with sharper edges
ECML'06 Proceedings of the 17th European conference on Machine Learning
On multiplicative λ-approximations and some geometric applications
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How user behavior is related to social affinity
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Subsampling mathematical relaxations and average-case complexity
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The laplacian paradigm: emerging algorithms for massive graphs
TAMC'10 Proceedings of the 7th annual conference on Theory and Applications of Models of Computation
Approximate computation and implicit regularization for very large-scale data analysis
PODS '12 Proceedings of the 31st symposium on Principles of Database Systems
Using petal-decompositions to build a low stretch spanning tree
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
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Proceedings of the 49th Annual Design Automation Conference
Advantage of overlapping clusters for minimizing conductance
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Computer Science Review
High-confidence near-duplicate image detection
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Graph Sparsification by Effective Resistances
SIAM Journal on Computing
The small community phenomenon in networks: models, algorithms and applications
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A fast solver for a class of linear systems
Communications of the ACM
Defining and evaluating network communities based on ground-truth
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Algorithms, graph theory, and the solution of laplacian linear equations
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Ranking and sparsifying a connection graph
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ICALP'07 Proceedings of the 34th international conference on Automata, Languages and Programming
Runtime guarantees for regression problems
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The Journal of Machine Learning Research
Matrix sparsification and nested dissection over arbitrary fields
Journal of the ACM (JACM)
Hierarchical community decomposition via oblivious routing techniques
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Geodesics in heat: A new approach to computing distance based on heat flow
ACM Transactions on Graphics (TOG)
Modeling and detecting community hierarchies
SIMBAD'13 Proceedings of the Second international conference on Similarity-Based Pattern Recognition
Proceedings of the International Conference on Computer-Aided Design
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We present algorithms for solving symmetric, diagonally-dominant linear systems to accuracy ε in time linear in their number of non-zeros and log (κf (A) ε), where κf (A) is the condition number of the matrix defining the linear system. Our algorithm applies the preconditioned Chebyshev iteration with preconditioners designed using nearly-linear time algorithms for graph sparsification and graph partitioning.