Matches in SemOpenAlex for { <https://semopenalex.org/work/W3010197776> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W3010197776 abstract "Network data can be conveniently modeled as a graph signal, where data values are assigned to nodes of a graph that describes the underlying network topology. Successful learning from network data is built upon methods that effectively exploit this graph structure. In this work, we leverage graph signal processing to characterize the representation space of graph neural networks (GNNs). We discuss the role of graph convolutional filters in GNNs and show that any architecture built with such filters has the fundamental properties of permutation equivariance and stability to changes in the topology. These two properties offer insight about the workings of GNNs and help explain their scalability and transferability properties which, coupled with their local and distributed nature, make GNNs powerful tools for learning in physical networks. We also introduce GNN extensions using edge-varying and autoregressive moving average graph filters and discuss their properties. Finally, we study the use of GNNs in recommender systems and learning decentralized controllers for robot swarms." @default.
- W3010197776 created "2020-03-13" @default.
- W3010197776 creator A5060836778 @default.
- W3010197776 creator A5069506165 @default.
- W3010197776 creator A5078862959 @default.
- W3010197776 creator A5089101522 @default.
- W3010197776 date "2020-03-08" @default.
- W3010197776 modified "2023-09-27" @default.
- W3010197776 title "Graphs, Convolutions, and Neural Networks." @default.
- W3010197776 cites W1498436455 @default.
- W3010197776 cites W1988115241 @default.
- W3010197776 cites W2069525910 @default.
- W3010197776 cites W2219888463 @default.
- W3010197776 cites W2796431263 @default.
- W3010197776 cites W2798598284 @default.
- W3010197776 cites W2885647718 @default.
- W3010197776 cites W2924199702 @default.
- W3010197776 cites W2943959761 @default.
- W3010197776 cites W2963858333 @default.
- W3010197776 cites W2964311892 @default.
- W3010197776 cites W2964321699 @default.
- W3010197776 cites W3002369146 @default.
- W3010197776 hasPublicationYear "2020" @default.
- W3010197776 type Work @default.
- W3010197776 sameAs 3010197776 @default.
- W3010197776 citedByCount "4" @default.
- W3010197776 countsByYear W30101977762020 @default.
- W3010197776 countsByYear W30101977762021 @default.
- W3010197776 crossrefType "posted-content" @default.
- W3010197776 hasAuthorship W3010197776A5060836778 @default.
- W3010197776 hasAuthorship W3010197776A5069506165 @default.
- W3010197776 hasAuthorship W3010197776A5078862959 @default.
- W3010197776 hasAuthorship W3010197776A5089101522 @default.
- W3010197776 hasConcept C111919701 @default.
- W3010197776 hasConcept C119857082 @default.
- W3010197776 hasConcept C132525143 @default.
- W3010197776 hasConcept C153083717 @default.
- W3010197776 hasConcept C154945302 @default.
- W3010197776 hasConcept C165696696 @default.
- W3010197776 hasConcept C199845137 @default.
- W3010197776 hasConcept C38652104 @default.
- W3010197776 hasConcept C41008148 @default.
- W3010197776 hasConcept C48044578 @default.
- W3010197776 hasConcept C557471498 @default.
- W3010197776 hasConcept C77088390 @default.
- W3010197776 hasConcept C80444323 @default.
- W3010197776 hasConceptScore W3010197776C111919701 @default.
- W3010197776 hasConceptScore W3010197776C119857082 @default.
- W3010197776 hasConceptScore W3010197776C132525143 @default.
- W3010197776 hasConceptScore W3010197776C153083717 @default.
- W3010197776 hasConceptScore W3010197776C154945302 @default.
- W3010197776 hasConceptScore W3010197776C165696696 @default.
- W3010197776 hasConceptScore W3010197776C199845137 @default.
- W3010197776 hasConceptScore W3010197776C38652104 @default.
- W3010197776 hasConceptScore W3010197776C41008148 @default.
- W3010197776 hasConceptScore W3010197776C48044578 @default.
- W3010197776 hasConceptScore W3010197776C557471498 @default.
- W3010197776 hasConceptScore W3010197776C77088390 @default.
- W3010197776 hasConceptScore W3010197776C80444323 @default.
- W3010197776 hasLocation W30101977761 @default.
- W3010197776 hasOpenAccess W3010197776 @default.
- W3010197776 hasPrimaryLocation W30101977761 @default.
- W3010197776 hasRelatedWork W2850438274 @default.
- W3010197776 hasRelatedWork W2900585917 @default.
- W3010197776 hasRelatedWork W2991930745 @default.
- W3010197776 hasRelatedWork W2994097903 @default.
- W3010197776 hasRelatedWork W3000019468 @default.
- W3010197776 hasRelatedWork W3021353750 @default.
- W3010197776 hasRelatedWork W3047747336 @default.
- W3010197776 hasRelatedWork W3097753281 @default.
- W3010197776 hasRelatedWork W3105744467 @default.
- W3010197776 hasRelatedWork W3106909837 @default.
- W3010197776 hasRelatedWork W3107418196 @default.
- W3010197776 hasRelatedWork W3123369446 @default.
- W3010197776 hasRelatedWork W3126958217 @default.
- W3010197776 hasRelatedWork W3148711710 @default.
- W3010197776 hasRelatedWork W3160221829 @default.
- W3010197776 hasRelatedWork W3163629447 @default.
- W3010197776 hasRelatedWork W3163982724 @default.
- W3010197776 hasRelatedWork W3164494714 @default.
- W3010197776 hasRelatedWork W3199957060 @default.
- W3010197776 hasRelatedWork W3200504467 @default.
- W3010197776 isParatext "false" @default.
- W3010197776 isRetracted "false" @default.
- W3010197776 magId "3010197776" @default.
- W3010197776 workType "article" @default.