dmlc--dgl
Minjie Wang
17 行
746 B
Plaintext
17 行
746 B
Plaintext
Model overview
|
|
==============
|
|
|
|
We developed DGL with a broad range of applications in mind. Building
|
|
state-of-art models forces us to think hard on the most common and useful APIs,
|
|
learn the hard lessons, and push the system design.
|
|
|
|
We have prototyped altogether 10 different models, all of them are ready to run
|
|
out-of-box and some of them are very new graph-based algorithms. In most of the
|
|
cases, they demonstrate the performance, flexibility, and expressiveness of
|
|
DGL. For where we still fall in short, these exercises point to future
|
|
directions.
|
|
|
|
We categorize the models below, providing links to the original code and
|
|
tutorial when appropriate. As will become apparent, these models stress the use
|
|
of different DGL APIs.
|