IEEE Transactions on Knowledge and Data Engineering· 2026Q1· Review
Graph Neural Networks for Graphs With Heterophily: A Survey
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- Q1SCImago
- 2026year
Short summary
This survey systematically reviews Graph Neural Networks (GNNs) designed for heterophilic graphs, where connected nodes tend to have different labels, a property that challenges traditional homophily-assuming GNNs.
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Artificial IntelligenceComputer Science