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Graphical Models

985 papers

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Papers

Structural Information Enhanced Graph Representation for Link Prediction AAAI 2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024
Colour Passing Revisited: Lifted Model Construction with Commutative Factors AAAI 2024
Causal-Driven Skill Prerequisite Structure Discovery AAAI 2024
End-to-end Learning of Logical Rules for Enhancing Document-level Relation Extraction ACL 2024
Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction ACL 2024
Ordinal Potential-based Player Rating AISTATS 2024
DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates AISTATS 2024
Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models AISTATS 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024
Learning Cartesian Product Graphs with Laplacian Constraints AISTATS 2024
Graph fission and cross-validation AISTATS 2024
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification AISTATS 2024
Contextual Directed Acyclic Graphs AISTATS 2024
Faithful graphical representations of local independence AISTATS 2024
Optimal estimation of Gaussian (poly)trees AISTATS 2024
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models AISTATS 2024
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields AISTATS 2024
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering CVPR 2024
Neural Markov Random Field for Stereo Matching CVPR 2024
Image Processing GNN: Breaking Rigidity in Super-Resolution CVPR 2024
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding EMNLP 2024
NALA: an Effective and Interpretable Entity Alignment Method EMNLP 2024
Who Wrote When? Author Diarization in Social Media Discussions EMNLP 2024