Graph Theory

Axioms for Graph Clustering Quality Functions JMLR 2014 Clustering from Labels and Time-Varying Graphs NeurIPS 2014 Connected Sub-graph Detection AISTATS 2014 Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model NeurIPS 2014 Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning CVPR 2014 Distributed Power-law Graph Computing: Theoretical and Empirical Analysis NeurIPS 2014 Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014 Efficient Minimax Signal Detection on Graphs NeurIPS 2014 Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm ICML 2014 Estimating Latent-Variable Graphical Models using Moments and Likelihoods ICML 2014 Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014 Finding Dense Subgraphs via Low-Rank Bilinear Optimization ICML 2014 Global graph kernels using geometric embeddings ICML 2014 GPS-Tag Refinement using Random Walks with an Adaptive Damping Factor CVPR 2014 Graph Estimation From Multi-Attribute Data JMLR 2014 Hitting and Commute Times in Large Random Neighborhood Graphs JMLR 2014 Human Action Recognition Based on Context-Dependent Graph Kernels CVPR 2014 Joint Structure Learning of Multiple Non-Exchangeable Networks AISTATS 2014 Learning Chordal Markov Networks by Dynamic Programming NeurIPS 2014 Learning from Contagion (Without Timestamps) ICML 2014 Learning Graphs with a Few Hubs ICML 2014 Learning on graphs using Orthonormal Representation is Statistically Consistent NeurIPS 2014 Message Passing Inference for Large Scale Graphical Models with High Order Potentials NeurIPS 2014 Min-Max Problems on Factor Graphs ICML 2014 Mixed Graphical Models via Exponential Families AISTATS 2014