Papers with holistic means

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GAINER: Graph Machine Learning with Node-specific Radius for Classification of Short Texts and Documents (2024.eacl-long)

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Challenge: Recent advances in Graph Machine Learning (GML) have led to the development of numerous models tailored for processing text for various natural language applications.
Approach: They propose a framework called Graph mAchine learnIng with Node-spEcific Radius that is aimed at graph-based NLP.
Outcome: The proposed framework is non-neural and novel for graph-based NLP.

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