Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration.
Jianyu SuPeter A. BelingRui GuoKyungtae HanPublished in: CoRR (2019)
Keyphrases
- probabilistic modeling
- probabilistic model
- bayesian inference
- image processing
- log linear
- edge weights
- bipartite graph
- social networks
- graph structure
- graph layout
- small world
- random walk
- graph theory
- complex networks
- network structure
- graph structures
- bayesian networks
- training data
- machine learning
- weighted graph
- directed acyclic graph
- parameter learning
- prior knowledge