[Feature] Biased Neighbor Sampling #2987
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soodoshll
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jermainewang
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Jun 15, 2021
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* update * update * update * update * lint * lint * update * update * update * update * update * update * update * update * update * update * update * update * update * update * lint * update * clone * update * update * update * update * replace idarray with ndarray * refactor cpp part * refactor python part * debug * refactor interface * test and doc * lint and test * lint * fix * fix * fix * const * doc * fix * fix * fix * fix * fix & doc * fix * fix * update * update * update * merge * doc * doc * lint * fix * more tests * doc * fix * fix * update * update * update * fix * fix Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
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Description
Use the utilities in #1664 and #1665 to implement a biased neighbor sampling algorithm. In this version of neighbor sampling,
each node is assigned an integer
tag, and nodes with different tags have different probabilities(bias) to be sampled. Tag is an analogue of node type under the framework of homogeneous graph.For example, in a node classification problem, some node are labeled while others are not. Users might want labeled nodes to have higher probability to be sampled. They can set the tag of labeled nodes as 1 and unlabeled nodes as 0, and assign a higher
biasfor tag 1 than tag 0.Checklist
Please feel free to remove inapplicable items for your PR.
or have been fixed to be compatible with this change
Changes