Abstract: We describe a method of oversampling signals defined on a weighted graph by using an oversampled graph Laplacian matrix. The conventional method ... and a transform has to be performed on ...

First, two matrices representing the 3D mesh are considered: a graph adjacency matrix and a feature matrix. Both matrices are used as input to a shallow graph convolutional network. The network ...

I work with graphs and subgraphs that can be interrupted. When I update the state of the parent graph after interrupting a node in the subgraph, two issues occur: The parent graph’s state doesn’t ...

SRTK is a toolkit for semantic-relevant subgraph retrieval from large-scale knowledge graphs. It currently supports Wikidata, Freebase and DBpedia. A minimum walkthrough of the retrieve process: srtk ...