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D-VAE: A variational autoencoder for directed acyclic graphs
Muhan Zhang
, Shali Jiang
, Zhicheng Cui
, Roman Garnett
, Yixin Chen
Department of Computer Science & Engineering
Institute of Clinical and Translational Sciences (ICTS)
Research output
:
Contribution to journal
›
Conference article
›
peer-review
168
Scopus citations
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Keyphrases
Asynchronous Message Passing
11%
Bayesian Network
11%
Bayesian Network Structure Learning
11%
Bayesian Optimization
11%
Deep Generative Models
11%
Directed Acyclic Graph
100%
Graph Neural Network
11%
Graph Structure
11%
Graph Types
11%
Graph Variational Autoencoder
11%
Latent Space
22%
Local Graph Structure
11%
Machine Learning
11%
Machine Learning Models
11%
Neural Architecture Search
11%
Neural Network
11%
Simultaneous Message Passing
11%
Type-directed
11%
Variational Autoencoder
100%
Computer Science
Asynchronous Message
11%
bayesian network structure
11%
Bayesian Networks
11%
Deep Generative Model
11%
Directed Acyclic Graph
100%
Graph Neural Network
11%
Learning System
11%
Machine Learning
11%
Machine Learning Model
11%
Message Passing
22%
Neural Architecture Search
11%
Neural Network
11%
structure learning
11%
Structured Data
11%
Variational Autoencoder
100%