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Drawing Bayesian networks, graphical models, and technical frameworks in LaTeX.
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BayesNet #6 example - BayesNet Jul 30, 2019
Framework #5 example - Framework Jun 4, 2019
TensorFactorization
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README.md Update README.md Jul 29, 2019

README.md

Awesome LaTeX drawing

This project covers a lot of personal LaTeX codes for drawing Bayesian networks, graphical models, and technical framework. [Blogger]

Contents

Usage

For many programming languages like Python, installing related packages is just the first step. Fortunately, you do not even to install any packages or even LaTeX in your PC (personal computer) because there are many online systems like overleaf make it easy to use.

Open overleaf.com in your Chrome.

It is not necessary to open each file in this repository because you can follow this readme document to find your needs.

Our Examples

Bayesian Networks

  • Open BCPF.tex in your overleaf project, you will see the following picture:

BCPF

BCPF (Bayesian CP factorization) model as a Bayesian network and a directed factor graph.

  • Open BGCP.tex in your overleaf project, you will see the following pictures:

BGCP

BGCP (Bayesian Gaussian CP decomposition) model as a Bayesian network and a directed factor graph.

  • Open BGCP-1.tex in your overleaf project, you will see the following picture:

BGCP

Another example for BGCP (Bayesian Gaussian CP decomposition) model as a Bayesian network and a directed factor graph.

  • Open BATF.tex in your overleaf project, you will see the following picture:

BATF

BATF (Bayesian augmented tensor factorization) model as a Bayesian network and a directed factor graph.

  • Open btmf.tex in your overleaf project, you will see the following picture:

btmf_net

BTMF (Bayesian temporal matrix factorization) model as a Bayesian network and a directed factor graph.

  • Open BTMF.tex in your overleaf project, you will see the following picture:

BTMF

BTMF (Bayesian temporal matrix factorization) model as a Bayesian network and a directed factor graph.

Research Frameworks

in your overleaf project, you will see the following picture:

framework

Tensor completion task and its framework including data organization and tensor completion, in which traffic measurements are partially observed.

rolling_prediction_strategy

A graphical illustration of rolling prediction strategy with temporal matrix factorization.

graphical_time_series

A graphical illustration of the partially observed time series data.

tensor_time_series

A graphical illustration of the partially observed time series tensor.

  • Open mf-explained.tex in your overleaf project, you will see the following picture:

mf-explained

A graphical illustration of matrix factorization.

Tensor Factorization

  • Open tensor.tex in your overleaf project, you will see the following picture:

tensor

A graphical illustration for the (origin,destination,time slot) tensor.

  • Open AuTF.tex in your overleaf project, you will see the following picture:

autf

Augmented tensor factorization (AuTF) model in our recent study.

  • Open TVART.tex in our overleaf project, you will see the following picture:

TVART

Related Projects

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