Universal Prompt Tuning for Graph Neural Networks

1 code implementation • NeurIPS 2023 • Taoran Fang, Yunchao Zhang, Yang Yang, Chunping Wang, Lei Chen

In this paper, we introduce a universal prompt-based tuning method called Graph Prompt Feature (GPF) for pre-trained GNN models under any pre-training strategy.

DropMessage: Unifying Random Dropping for Graph Neural Networks

2 code implementations • 21 Apr 2022 • Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang

First, it is challenging to find a universal method that are suitable for all cases considering the divergence of different datasets and models.

Graph Representation Learning