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Graphical Models

933 directly classified papers

Papers per year

Papers

Markov Equivalence and Consistency in Differentiable Structure Learning NIPS 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NIPS 2024
Stratified GNN Explanations through Sufficient Expansion AAAI 2024
NALA: an Effective and Interpretable Entity Alignment Method EMNLP 2024
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks NIPS 2024
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields AISTATS 2024
Ordinal Potential-based Player Rating AISTATS 2024
Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models AISTATS 2024
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs AAAI 2024
Combating Bilateral Edge Noise for Robust Link Prediction NIPS 2023
Bayesian Federated Neural Matching That Completes Full Information AAAI 2023
Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality AAAI 2023
Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs ICML 2023
Active Learning based Structural Inference ICML 2023
Adaptive Estimation of Graphical Models under Total Positivity ICML 2023
Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs EMNLP 2023
SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning EMNLP 2023
TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy EMNLP 2023
Quantifying Network Similarity using Graph Cumulants JMLR 2023
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications JMLR 2023
An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks JMLR 2023
Autoregressive Networks JMLR 2023
Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity AISTATS 2023
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models AISTATS 2023