Message Tuning Outshines Graph Prompt Tuning
A new paper details a method called Message Tuning, which outperforms Graph Prompt Tuning for Graph Foundation Models. The research explores a Prismatic Space Perspective.
Topics
Developing
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Sources · 7 independent
Modernity/arxiv
“Message Tuning Outshines Graph Prompt Tuning: A Prismatic Space Perspective. Authors: Yancheng Chen, Dun Ma, Shuai Zhang, Yang Liu, Xixun Lin, Xiangyu Zhao, Wenguo Yang, Wei Chen, Chuan Zhou Abstract: Graph Foundation Models (GFMs), built upon the Pre-training and Adaptation”
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