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cs.LG2025★ 1 cited
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Asiri Wijesinghe, Hao Zhu, Piotr Koniusz
Traditional Graph Self-Supervised Learning (GSSL) struggles to capture complex structural properties well. This limitation stems from two main factors: (1) the inadequacy of conven…
cs.LG2024
Inductive Graph Few-shot Class Incremental Learning
Yayong Li, Peyman Moghadam, Can Peng +2
Node classification with Graph Neural Networks (GNN) under a fixed set of labels is well known in contrast to Graph Few-Shot Class Incremental Learning (GFSCIL), which involves lea…