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cs.LG2026
When Do Graph Foundation Models Transfer? A Data-Centric Theory
Jiajun Zhu, Ying Chen, Peihao Wang +4
Graph foundation models (GFMs) aim to reuse a single backbone across diverse graph domains, yet their transfer is often uneven and can exhibit negative transfer. While most prior w…
cs.LG2026
COMBA: Cross Batch Aggregation for Learning Large Graphs with Context Gating State Space Models
Jiajun Shen, Yufei Jin, Yi He +1
State space models (SSMs) have recently emerged for modeling long-range dependency in sequence data, with much simplified computational costs than modern alternatives, such as tran…