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Graphical Models

933 directly classified papers

Papers per year

Papers

Missing Values in Multiple Joint Inference of Gaussian Graphical Models PGM 2020
Learning Bayesian Networks with Cops and Robbers PGM 2020
Differentiable TAN Structure Learning for Bayesian Network Classifiers PGM 2020
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks UAI 2020
Sum-Product Network Decompilation PGM 2020
Causal screening in dynamical systems UAI 2020
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects UAI 2020
IDA with Background Knowledge UAI 2020
Knowledge Transfer for Learning Markov Equivalence Classes PGM 2020
Robust Collective Classification against Structural Attacks UAI 2020
Statistically Efficient Greedy Equivalence Search UAI 2020
Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020
Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues AAAI 2020
An Attention-Based Graph Neural Network for Heterogeneous Structural Learning AAAI 2020
SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation AAAI 2020
Fast and Deep Graph Neural Networks AAAI 2020
Correlated Equilibria for Approximate Variational Inference in MRFs PGM 2020
Analysis of Parliamentary Debate Transcripts Using Community-Based Graphical Approaches (Student Abstract) AAAI 2020
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data AAAI 2020
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View AAAI 2020
Error-Correcting and Verifiable Parallel Inference in Graphical Models AAAI 2020
Exponential Family Graph Embeddings AAAI 2020
A Multi-Scale Approach for Graph Link Prediction AAAI 2020
Scalable Bayesian Network Structure Learning via Maximum Acyclic Subgraph PGM 2020
Parallel AND/OR Search for Marginal MAP AAAI 2020