graph-neural-networks
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Description
Currently our unit tests are disorganized and each test creates example StellarGraph graphs in different or similar ways with no sharing of this code.
This issue is to improve the unit tests by making functions to create example graphs available to all unit tests by, for example, making them pytest fixtures at the top level of the tests (see https://docs.pytest.org/en/latest/
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We have several built-in datasets that can be easily loaded in one-line, located in the dataset
directory of Aliyun OSS bucket graphscope
, and the corresponding utility function to load them, located in python/graphscope/dataset/
. We are planning to enrich the datasets continuously.
There's the procedure to add new datasets:
- Find a popular and appropriate dataset, adapt the format to
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Motivation
paper "LEARNING TO REPRESENT PROGRAMS WITH GRAPHS" which encode computer programs as graphs, with rich semantic information, however, most code implementation on this dataset VarMisuse is based on TensorFlow, like [tf-gnn-samples](https://github.com/microsof