most citedHG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters

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cs.LG2024★ 2 cited

HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters

Yujie Mo, Runpeng Yu, Xiaofeng Zhu +1

The "pre-train, prompt-tuning'' paradigm has demonstrated impressive performance for tuning pre-trained heterogeneous graph neural networks (HGNNs) by mitigating the gap between pr…

cs.LG2024★ 1 cited

Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks

Jincheng Huang, Yujie Mo, Xiaoshuang Shi +2

The message-passing mechanism of graph convolutional networks (i.e., GCNs) enables label information to reach more unlabeled neighbors, thereby increasing the utilization of labels…