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Found 2 papers, 2 papers with code
Hi-GMAE: Hierarchical Graph Masked Autoencoders
To ensure masking uniformity of subgraphs across these scales, we propose a novel coarse-to-fine strategy that initiates masking at the coarsest scale and progressively back-projects the mask to the finer scales.
Gradformer: Graph Transformer with Exponential Decay
Therefore, this paper presents Gradformer, a method innovatively integrating GT with the intrinsic inductive bias by applying an exponential decay mask to the attention matrix.
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