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Graph Neural Networks (GNNs) have achieved great success on a variety of tasks with graph-structural data, among which node classification is an essential one.
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Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
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Revisiting Link Prediction: A Data Perspective
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, and Jiliang Tang. 2023b · 2023
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