Graph Theory

On clustering network-valued data NeurIPS 2017 Online Graph Completion: Multivariate Signal Recovery in Computer Vision CVPR 2017 On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations ICML 2017 On the Troll-Trust Model for Edge Sign Prediction in Social Networks AISTATS 2017 Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering IJCAI 2017 Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs EMNLP 2017 Reconstructing Undirected Graphs from Eigenspaces JMLR 2017 Scene Graph Generation by Iterative Message Passing CVPR 2017 Shortest-Path Graph Kernels for Document Similarity EMNLP 2017 SnapVX: A Network-Based Convex Optimization Solver JMLR 2017 The Importance of Communities for Learning to Influence NeurIPS 2017 Two-Sample Tests for Large Random Graphs Using Network Statistics COLT 2017 Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques JMLR 2017 Uprooting and Rerooting Higher-Order Graphical Models NeurIPS 2017 Verifying Reachability in Networks with Mutable Datapaths NSDI 2017 Weakening Covert Networks by Minimizing Inverse Geodesic Length IJCAI 2017 Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation NeurIPS 2016 A Simple and Strongly-Local Flow-Based Method for Cut Improvement ICML 2016 Bayesian Graphical Models for Multivariate Functional Data JMLR 2016 Classification of Imbalanced Data with a Geometric Digraph Family JMLR 2016 Clustering Signed Networks with the Geometric Mean of Laplacians NeurIPS 2016 Community Detection on Evolving Graphs NeurIPS 2016 Completely random measures for modelling block-structured sparse networks NeurIPS 2016 Constraints Based Convex Belief Propagation NeurIPS 2016 Context-Sensitive Inference Rule Discovery: A Graph-Based Method COLING 2016