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Found 3 papers, 3 papers with code
SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
Recently, interpreting complex charts with logical reasoning have emerged as challenges due to the development of vision-language models.
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
We investigate the replay buffer in rehearsal-based approaches for graph continual learning (GCL) methods.
Task-Equivariant Graph Few-shot Learning
To solve this problem, it is important for GNNs to be able to classify nodes with a limited number of labeled nodes, known as few-shot node classification.
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