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Graph Theory

1,376 papers

Papers per year

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

Papers

Lossy Compression of Pattern Databases Using Acyclic Random Hypergraphs IJCAI 2017
A SAT Approach to Branchwidth IJCAI 2017
SnapVX: A Network-Based Convex Optimization Solver JMLR 2017
Bayesian Learning of Dynamic Multilayer Networks JMLR 2017
Clustering from General Pairwise Observations with Applications to Time-varying Graphs JMLR 2017
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques JMLR 2017
Reconstructing Undirected Graphs from Eigenspaces JMLR 2017
Hierarchical Clustering via Spreading Metrics JMLR 2017
Classification of Time Sequences using Graphs of Temporal Constraints JMLR 2017
Dimension Estimation Using Random Connection Models JMLR 2017
Faithfulness of Probability Distributions and Graphs JMLR 2017
Community Extraction in Multilayer Networks with Heterogeneous Community Structure JMLR 2017
Verifying Reachability in Networks with Mutable Datapaths NSDI 2017
On Valid Optimal Assignment Kernels and Applications to Graph Classification NIPS 2016
Edge-exchangeable graphs and sparsity NIPS 2016
Graph Clustering: Block-models and model free results NIPS 2016
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization NIPS 2016
Completely random measures for modelling block-structured sparse networks NIPS 2016
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NIPS 2016
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation NIPS 2016
The Multiscale Laplacian Graph Kernel NIPS 2016
Clustering Signed Networks with the Geometric Mean of Laplacians NIPS 2016
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models NIPS 2016
Community Detection on Evolving Graphs NIPS 2016
Cooperative Graphical Models NIPS 2016