83 citations · 160 across the 26 of their papers we have counts for
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cs.AI2026
Training Graph Foundation Models on The Web Graph
Ryoma Sato
We introduce Acacia, a graph foundation model, trained on the web graph. Acacia (i) supports arbitrary feature dimensionalities and semantics without additional training, (ii) supp…
cs.AI2021★ 2 cited
Fixed Support Tree-Sliced Wasserstein Barycenter
Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva +2
The Wasserstein barycenter has been widely studied in various fields, including natural language processing, and computer vision. However, it requires a high computational cost to…