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Found 2 papers, 1 papers with code
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion
To this end, these methods learn entity-pair representations from the direct neighbors of head and tail entities, and then aggregate the representations of reference entity pairs.
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves
The space-filling curves (SFCs) are used to find an ordering of the nodes or cells that can transform multi-dimensional solutions on unstructured meshes into a one-dimensional (1D) representation, to which 1D convolutional layers can then be applied.
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