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Graphical Models

933 directly classified papers

Papers per year

Papers

VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates AISTATS 2024
Image Processing GNN: Breaking Rigidity in Super-Resolution CVPR 2024
Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models AISTATS 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024
Random Walks for Temporal Action Segmentation With Timestamp Supervision WACV 2024
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding EMNLP 2024
Ordinal Potential-based Player Rating AISTATS 2024
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering CVPR 2024
DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024
Learning Cartesian Product Graphs with Laplacian Constraints AISTATS 2024
On Sufficient Graphical Models JMLR 2024
Breaking the curse of dimensionality in structured density estimation NIPS 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NIPS 2024
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models AISTATS 2024
Contextual Directed Acyclic Graphs AISTATS 2024
Graph Edit Distance with General Costs Using Neural Set Divergence NIPS 2024
Faithful graphical representations of local independence AISTATS 2024
Modeling Knowledge Graphs with Composite Reasoning AAAI 2024
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations AAAI 2024
Structural Entropy Based Graph Structure Learning for Node Classification AAAI 2024
Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
Link Prediction in Multilayer Networks via Cross-Network Embedding AAAI 2024
Graph fission and cross-validation AISTATS 2024
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification AISTATS 2024
Optimal estimation of Gaussian (poly)trees AISTATS 2024