Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining

Graphs with abundant attributes are essential in modeling interconnected entities and enhancing predictions across various real-world applications. Traditional Graph Neural Networks (GNNs) often require re-training for different graph tasks and datasets. Although the emergence of Large Language Mode...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 26. Aug.
Auteur principal:	Tan, Yanchao (Auteur)
Autres auteurs:	Lv, Hang, Zhan, Pengxiang, Wang, Shiping, Yang, Carl
Format:	Article en ligne
Langue:	English
Publié:	2025
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article