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Found 3 papers, 1 papers with code
Multidimensional Interpolants
In the domain of differential equation-based generative modeling, conventional approaches often rely on single-dimensional scalar values as interpolation coefficients during both training and inference phases.
SPGP: Structure Prototype Guided Graph Pooling
In this paper, we propose Structure Prototype Guided Pooling (SPGP) that utilizes prior graph structures to overcome the limitation.
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
To address these challenges, we propose a novel GNN-based sparse structure learning model for inductive document classification.
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