Continual graph learning (CGL) maintains models as graphs evolve without retraining from scratch, while mitigating catastrophic forgetting. Existing methods typically target either transductive or inductive settings and often store past subgraphs or require task identifiers at inference. We propose Community-aware Prot...
Bo-Young Lim, Seokhwan Kim, Kisung Lee et al.· 0 citations
Fairness-oriented Perspective-Inversion via Viewpoint-balanced Outline-then-generaTion (simply, FAIR-PIVOT), a retrieval-augmented generation (RAG)-based two-level-agent framework that builds balanced perspective-inverted synthetic data for politically sensitive topics is proposed.
Haneul Kim, Jaebeom You, Jaewon Lee et al.· Proceedings of the 35th ACM...· 0 citations
Fairness-oriented Perspective-Inversion via Viewpoint-balanced Outline-then-generaTion (simply, FAIR-PIVOT), a retrieval-augmented generation (RAG)-based two-level-agent framework that builds balanced perspective-inverted synthetic data for politically sensitive topics is proposed.
Haneul Kim, Jaebeom You, Jaewon Lee et al.· Proceedings of the 35th ACM...· 0 citations
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