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cs.LG2026
Bridging Input Feature Spaces Towards Graph Foundation Models
Moshe Eliasof, Krishna Sri Ipsit Mantri, Beatrice Bevilacqua +2
Unlike vision and language domains, graph learning lacks a shared input space, as input features differ across graph datasets not only in semantics, but also in value ranges and di…
cs.LG2026
Towards Improved Sentence Representations using Token Graphs
Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Zorah Lähner +1
Obtaining a single-vector representation from a Large Language Model's (LLM) token-level outputs is a critical step for nearly all sentence-level tasks. However, standard pooling m…