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Graph Theory

1375 directly classified papers

Papers per year

Papers

Graph Game Embedding AAAI 2021
Consistent Nonparametric Methods for Network Assisted Covariate Estimation ICML 2021
Graph Matching and Graph Rewriting: GREW tools for corpus exploration, maintenance and conversion EACL 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters NIPS 2021
Stochastic Bandits with Graph Feedback in Non-Stationary Environments AAAI 2021
Impossibility of Partial Recovery in the Graph Alignment Problem COLT 2021
Understanding Bandits with Graph Feedback NIPS 2021
Efficient Sampling of Dependency Structure EMNLP 2021
Dependency in DAG models with hidden variables UAI 2021
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs ICML 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach ICML 2021
Bipartite Graph Network With Adaptive Message Passing for Unbiased Scene Graph Generation CVPR 2021
Bridge To Answer: Structure-Aware Graph Interaction Network for Video Question Answering CVPR 2021
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management CVPR 2021
Structure-Aware Face Clustering on a Large-Scale Graph With 107 Nodes CVPR 2021
Restricted Domains of Dichotomous Preferences with Possibly Incomplete Information AAAI 2021
Evaluation of Taxonomy Enrichment on Diachronic WordNet Versions EACL 2021
Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models JMLR 2021
Minimal enumeration of all possible total effects in a Markov equivalence class AISTATS 2021
Regularized spectral methods for clustering signed networks JMLR 2021
The Maximin Support Method: An Extension of the D’Hondt Method to Approval-Based Multiwinner Elections AAAI 2021
Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design JMLR 2021
A Unified Framework for Spectral Clustering in Sparse Graphs JMLR 2021
Generalized parametric path problems UAI 2021
Learning partial correlation graphs and graphical models by covariance queries JMLR 2021