Comments (1)
@DuanhaoranCC Thanks for your attention. There are two differences between GraphMAE and AttrMask:
- GraphMAE uses a GNN as the decoder, and AttrMask uses a linear layer for decoding.
- Scaled cosine error (SCE) is used as the criterion in GraphMAE rather than cross-entropy in AttrMask.
We haven't conducted rigorous ablation studies to measure the single contribution of each component, but the overall training paradigm of GraphMAE achieves better results than AttrMask.
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