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message passing
message passing
579 papers
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Also known as
MP
Co-occurring keywords
graph neural network
(3962)
graphical model
(864)
node classification
(482)
belief propagation
(177)
representation learning
(6206)
variational inference
(2069)
attention mechanism
(4001)
combinatorial optimization
(1039)
approximate inference
(253)
graph transformer
(114)
Papers
Simple Propagation with Arc-Reversal in Bayesian Networks
PGM 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups
AISTATS 2018
Stein Variational Message Passing for Continuous Graphical Models
ICML 2018
DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding
ICML 2018
Adaptive Sampling Towards Fast Graph Representation Learning
NIPS 2018
N-ary Relation Extraction using Graph-State LSTM
EMNLP 2018
Submatrix localization via message passing
JMLR 2018
A Bi-Directional Message Passing Model for Salient Object Detection
CVPR 2018
Neural Message Passing for Quantum Chemistry
ICML 2017
Improving Variational Methods via Pairwise Linear Response Identities
JMLR 2017
ViP-CNN: Visual Phrase Guided Convolutional Neural Network
CVPR 2017
Asynchronous Parallel Coordinate Minimization for MAP Inference
NIPS 2017
Subset Selection and Summarization in Sequential Data
NIPS 2017
Learning Graph Representations with Embedding Propagation
NIPS 2017
A Message Passing Algorithm for the Minimum Cost Multicut Problem
CVPR 2017
Scene Graph Generation by Iterative Message Passing
CVPR 2017
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching
CVPR 2017
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems
CVPR 2017
Composing graphical models with neural networks for structured representations and fast inference
NIPS 2016
Boolean Matrix Factorization and Noisy Completion via Message Passing
ICML 2016
Constraints Based Convex Belief Propagation
NIPS 2016
Survey Propagation beyond Constraint Satisfaction Problems
AISTATS 2016
d-VMP: Distributed Variational Message Passing
PGM 2016
On Bayesian Network Inference with Simple Propagation
PGM 2016
Approximate Inference Using DC Programming For Collective Graphical Models
AISTATS 2016
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