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Found 3 papers, 2 papers with code
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Meta-learning has received a tremendous recent attention as a possible approach for mimicking human intelligence, i. e., acquiring new knowledge and skills with little or even no demonstration.
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Graph Neural Networks (GNNs) have recently received significant research attention due to their superior performance on a variety of graph-related learning tasks.
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Owing to its generalization, MixDA has penetrated a variety of applications which are also completely reviewed in this work.
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