All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract)

arXiv:2403.07040v1 Announce Type: new
Abstract: This paper is an extended abstract of our original work published in KDD23, where we won the best research paper award (Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, and Jihong Guan. All in one: Multi-task prompting for graph neural networks. KDD 23) The paper introduces a novel approach to bridging the gap between pre-trained graph models and the diverse tasks they're applied to, inspired by the success of prompt learning in NLP. Recognizing the …

abstract arxiv cs.ai cs.lg graph graph neural networks kdd networks neural networks paper prompting research research paper type work