A controllable synthetic benchmark on contextual SBM graphs reveals distance-misaligned training in Graph Transformers, with an oracle adaptive controller improving performance by matching task-specific distance targets.
What improves the generalization of graph transformers? a theoretical dive into the self-attention and positional encoding
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Distance-Misaligned Training in Graph Transformers and Adaptive Graph-Aware Control
A controllable synthetic benchmark on contextual SBM graphs reveals distance-misaligned training in Graph Transformers, with an oracle adaptive controller improving performance by matching task-specific distance targets.