AI RESEARCH
Structural Alignment Improves Graph Test-Time Adaptation
arXiv CS.LG
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ArXi:2502.18334v5 Announce Type: replace Graph-based learning excels at capturing interaction patterns in diverse domains like recommendation, fraud detection, and particle physics. However, its performance often degrades under distribution shifts, especially those altering network connectivity. Current methods to address these shifts typically require re