Understand the Framework¶
The framework of GraphVite is composed of two parts, a core library and a Python wrapper.
The Python wrapper can be found in
python/graphvite/. It provides an auto wrapper for
classes in the core library, as well as implementation for applications and datasets.
The core library is implemented with C++11 and CUDA, and binded to Python using
pybind11. It covers implementation of all computation-related classes in GraphVite,
such as graphs, solvers and optimizers. All these ingredients are packaged as classes,
similar to the Python interface. The source code can be found in
In the C++ implementation, there is something different from Python. The graphs and solvers are templaterized by the underlying data types, and the length of embedding vectors. This design enables dynamic data type in Python interface, as well as maximal compile-time optimization.
The C++ interface is highly abstracted to faciliate further development on GraphVite. Generally, by inheriting from the core interface, you can implement your graph deep learning routine without caring about scheduling details.
The source code is organized as follows.
include/base/*implements basic data structures
include/util/*implements basic utils
include/core/*implements optimizers, and core interface of graphs and solvers
include/gpu/*implements forward & backward propagation for all models
include/instance/*implements instances of graphs and solvers
include/bind.himplements Python bindings
src/graphvite.cuinstantiates all Python classes