112 citations · 180 across the 13 of their papers we have counts for
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cs.LG2026
T3R: Deeper Test-Time Adaptation for Graph Neural Networks via Gradient Rotation
Huy Truong, Alexander Lazovik, Victoria Degeler
Graph Neural Networks (GNNs) deployed in real-world systems typically have fixed weights, often leading to degraded performance under distribution shifts. This issue can be mitigat…
cs.AI2026
Tabular Foundation Models Can Learn Association Rules
Erkan Karabulut, Daniel Daza, Paul Groth +2
Association Rule Mining (ARM) is a fundamental task for knowledge discovery in tabular data and is widely used in high-stakes decision-making. Classical ARM methods rely on frequen…