dmlc / dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.
http://dgl.ai
Apache License 2.0
13.57k stars 3.02k forks source link

Example searching tool is hard to use #3306

Open WangXuhongCN opened 3 years ago

WangXuhongCN commented 3 years ago

🚀 Feature

  1. Classify examples by different tasks, e.g., Link Perdiction, Node classification, Graph regression. Some examples do have the tag "Link Prediction", but actually, the code does not have any link prediction part.
  2. Spilt examples as official codes and third-party codes. Among them, official examples must strictly obey certain coding rules.
  3. Some links on example search tool are error. For example, the link of model "Heterogeneous graph neural network" is https://github.com/dmlc/dgl/blob/master/examples/README.md**undefined**. Please double check them.
  4. Define some fixed training pipelines, and for each pipeline, DGL team should provide one official example. If you did these, researchers can just focus on their model implementation, not the other not important things.
jermainewang commented 3 years ago

This will be related to the on-going effort to organize examples in a cleaner way. cc @mufeili