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← Core Methods
Machine Learning
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Core Methods
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Graphical Models
933 directly classified papers
Papers per year
2002: 1
2005: 1
2006: 30
2007: 24
2008: 21
2009: 28
2010: 32
2011: 37
2012: 75
2013: 79
2014: 55
2015: 42
2016: 52
2017: 34
2018: 67
2019: 52
2020: 89
2021: 41
2022: 49
2023: 40
2024: 60
2025: 24
Papers
Optimal estimation of Gaussian (poly)trees
AISTATS 2024
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields
AISTATS 2024
Graph Edit Distance with General Costs Using Neural Set Divergence
NIPS 2024
Causal-Driven Skill Prerequisite Structure Discovery
AAAI 2024
Provably Powerful Graph Neural Networks for Directed Multigraphs
AAAI 2024
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification
AISTATS 2024
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations
AAAI 2024
Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport
JMLR 2024
Transfer Learning for Latent Variable Network Models
NIPS 2024
Graph fission and cross-validation
AISTATS 2024
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix
JMLR 2024
Transfer learning for tensor Gaussian graphical models
JMLR 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks
NIPS 2024
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
AAAI 2024
Image Processing GNN: Breaking Rigidity in Super-Resolution
CVPR 2024
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
NIPS 2024
Stratified GNN Explanations through Sufficient Expansion
AAAI 2024
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
AAAI 2024
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding
EMNLP 2024
Faithful graphical representations of local independence
AISTATS 2024
Structural Entropy Based Graph Structure Learning for Node Classification
AAAI 2024
Modeling Knowledge Graphs with Composite Reasoning
AAAI 2024
Breaking the curse of dimensionality in structured density estimation
NIPS 2024
Linear Uncertainty Quantification of Graphical Model Inference
NIPS 2024
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering
CVPR 2024
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