arXiv Machine Learning August 27, 2026 By Fumiaki Kimino (SOKENDAI), Ryoma Sato (SOKENDAI, National Institute of Informatics)

Why Does Graph Learning Fail to Fully Benefit from a Text Teacher?

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The paper examines a multimodal approach that combines a self‑supervised GNN encoder with an alternating optimization scheme involving a language‑model teacher. Despite the expectation that this joint strategy would enhance predictive performance, the authors find that the combined model fails to deliver significant gains. They identify six key factors—ranging from anchor strength trade‑offs to misaligned representation spaces—that explain why the integration of text knowledge does not fully benefit graph learning.

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