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InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
2024-01-16
· ICLR 2024 poster ·
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Findings
IC-1440
GCN, GAT, GraphSAGE, and SGC exhibit structure-dependent generalization in transductive node classification: test nodes with shorter paths to training nodes are classified more accurately
IC-1441
GCN exhibits structural unfairness in transductive node classification, with demographic parity and equal opportunity gaps between nodes connected to and disconnected from the training set