图数据权重归一化要求
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- C++
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Description
请问在LasGNN方法里，关于“基于beam-search的layer-wise邻居采样”，按照节点权重（边权重之和）进行采样，但不同类型的边对应不同大小的权重，对于这些权重需要做归一化处理吗？如果需要的话，有归一化方法限制吗？
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Research direction
Start by locating the LasGNN beam-search, layer-wise neighbor-sampling implementation and checking how node weights, defined as sums of edge weights, are consumed. Done means documenting whether normalization is required and whether any normalization method constraints apply.
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Assessment
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100