GraphLab Toolkits

To enable users to use GraphLab out-of-the-box and to demonstrate the power of the GraphLab API we have implemented a collection of applications to address a wide range of standard tasks in large-scale graph computation.

We have implemented the following toolkits

• Topic Modeling contains applications like LDA which can be used to cluster documents and extract topical representations.

• Graph Analytics contains application like pagerank and triangle counting which can be applied to general graphs to estimate community structure.

• Clustering contains standard data clustering tools such as Kmeans

• Collaborative Filtering contains a collection of applications used to make predictions about users interests and factorize large matrices.

• Graphical Models contains tools for making joint predictions about collections of related random variables.

• Computer Vision contains a collection of tools for reasoning about images.