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

2 citations · 3 across the 3 of their papers we have counts for

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cs.AI2024★ 1 cited

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective

Yujie Mo, Zhihe Lu, Runpeng Yu +2

Self-supervised heterogeneous graph learning (SHGL) has shown promising potential in diverse scenarios. However, while existing SHGL methods share a similar essential with clusteri…