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Graph Theory

1,376 papers

Papers per year

20
59
149
67
'10
'15
'20
'25

Papers

Globally Optimizing Graph Partitioning Problems Using Message Passing AISTATS 2012
Lifted Linear Programming AISTATS 2012
Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs AISTATS 2012
Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model COLT 2012
Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso JMLR 2012
The huge Package for High-dimensional Undirected Graph Estimation in R JMLR 2012
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion JMLR 2012
A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally JMLR 2012
Towards Persistent Localization and Mapping with a Continuous Appearance-based Topology RSS 2012
Efficiently finding optimal winding-constrained loops in the plane RSS 2012
Learning Higher-Order Graph Structure with Features by Structure Penalty NIPS 2011
Phase transition in the family of p-resistances NIPS 2011
Regularized Laplacian Estimation and Fast Eigenvector Approximation NIPS 2011
Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts NIPS 2011
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Structure Learning for Optimization NIPS 2011
Data Skeletonization via Reeb Graphs NIPS 2011
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions NIPS 2011
See the Tree Through the Lines: The Shazoo Algorithm NIPS 2011
Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning NIPS 2011
Reconstructing Patterns of Information Diffusion from Incomplete Observations NIPS 2011
Collective Graphical Models NIPS 2011
Learning Scale Free Networks by Reweighted $\ell_1$ regularization AISTATS 2011