Graph domain adaptation fails more when source and target graphs have different local homophily profiles, and the proposed HGDA filters and aligns homophily, heterophily, and attribute signals to improve cross-graph node classification.
Robust mid-pass filtering graph convolutional networks
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Homophily Enhanced Graph Domain Adaptation
Graph domain adaptation fails more when source and target graphs have different local homophily profiles, and the proposed HGDA filters and aligns homophily, heterophily, and attribute signals to improve cross-graph node classification.