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Found 3 papers, 1 papers with code
Tensor-Valued Time and Inference Path Optimization in Differential Equation-Based Generative Modeling
In the field of generative modeling based on differential equations, conventional methods utilize scalar-valued time during both the 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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