Graphical Models

Topology-Aware Gated Graph Neural Network for Social Bot Detection IJCNLP 2025 TreeFormer: Single-View Plant Skeleton Estimation via Tree-Constrained Graph Generation WACV 2025 Variational Inference on the Boolean Hypercube with the Quantum Entropy AISTATS 2025 Adversarially-Robust Inference on Trees via Belief Propagation COLT 2024 A Global Markov Property for Solutions of Stochastic Difference Equations and the corresponding Full Time Graphs UAI 2024 Anchoring Path for Inductive Relation Prediction in Knowledge Graphs AAAI 2024 A Theory of Non-acyclic Generative Flow Networks AAAI 2024 Breaking the curse of dimensionality in structured density estimation NeurIPS 2024 Cauchy Graphical Models PGM 2024 Causal-Driven Skill Prerequisite Structure Discovery AAAI 2024 CoLiDE: Concomitant Linear DAG Estimation ICLR 2024 Colour Passing Revisited: Lifted Model Construction with Commutative Factors AAAI 2024 Constraint-Free Structure Learning with Smooth Acyclic Orientations ICLR 2024 Contextual Directed Acyclic Graphs AISTATS 2024 DAG-Aware Variational Autoencoder for Social Propagation Graph Generation AAAI 2024 Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification AISTATS 2024 DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation NeurIPS 2024 DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization AAAI 2024 DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024 Efficient Detection of Commutative Factors in Factor Graphs PGM 2024 Eliminating Variable Order Instability in Greedy Score-Based Structure Learning PGM 2024 End-to-end Learning of Logical Rules for Enhancing Document-level Relation Extraction ACL 2024 Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure JMLR 2024 Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024 Exploration of the Search Space of Gaussian Graphical Models for Paired Data JMLR 2024