Matches in SemOpenAlex for { <https://semopenalex.org/work/W3000019468> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W3000019468 abstract "In recent years, substantial effort has been devoted to learning to represent the static graphs and their substructures. A few studies explored utilizing temporal information available in a dynamic setting in order to address the node representation learning. However, the representation learning problem for the entire graph in a dynamic context is yet to be addressed. In this paper, we propose an unsupervised encoder-decoder framework that projects a dynamic graph at each time step into a d-dimensional space, taking into account both the graph's topology and dynamics. We investigate two different strategies. First, we address the representation learning problem by auto-encoding the graph dynamics. Second, we formulate a graph prediction problem and enforce the encoder to learn the representation that an autoregressive decoder then uses to predict the future of a dynamic graph. Gated graph neural networks (GGNNs) are incorporated to learn the topology of the graph at each time step and Long short-term memory networks (LSTMs) are leveraged to propagate the temporal information among the nodes through time. We demonstrate the efficacy of our approach with a graph classification task using two real-world datasets of animal behaviour and brain networks." @default.
- W3000019468 created "2020-01-23" @default.
- W3000019468 creator A5060005215 @default.
- W3000019468 creator A5084804465 @default.
- W3000019468 date "2019-08-27" @default.
- W3000019468 modified "2023-09-29" @default.
- W3000019468 title "Predictive temporal embedding of dynamic graphs" @default.
- W3000019468 cites W2008857988 @default.
- W3000019468 cites W2064675550 @default.
- W3000019468 cites W2157331557 @default.
- W3000019468 cites W2171848690 @default.
- W3000019468 cites W2335274224 @default.
- W3000019468 cites W2509830164 @default.
- W3000019468 cites W2589622533 @default.
- W3000019468 cites W2759136286 @default.
- W3000019468 cites W2787927827 @default.
- W3000019468 cites W2788919350 @default.
- W3000019468 cites W2798918712 @default.
- W3000019468 cites W2808087697 @default.
- W3000019468 cites W2808766325 @default.
- W3000019468 cites W2811104999 @default.
- W3000019468 cites W2962756421 @default.
- W3000019468 cites W3037819556 @default.
- W3000019468 cites W3102945079 @default.
- W3000019468 cites W3104097132 @default.
- W3000019468 cites W3199947862 @default.
- W3000019468 doi "https://doi.org/10.1145/3341161.3342872" @default.
- W3000019468 hasPublicationYear "2019" @default.
- W3000019468 type Work @default.
- W3000019468 sameAs 3000019468 @default.
- W3000019468 citedByCount "11" @default.
- W3000019468 countsByYear W30000194682019 @default.
- W3000019468 countsByYear W30000194682021 @default.
- W3000019468 countsByYear W30000194682022 @default.
- W3000019468 countsByYear W30000194682023 @default.
- W3000019468 crossrefType "proceedings-article" @default.
- W3000019468 hasAuthorship W3000019468A5060005215 @default.
- W3000019468 hasAuthorship W3000019468A5084804465 @default.
- W3000019468 hasConcept C111919701 @default.
- W3000019468 hasConcept C118505674 @default.
- W3000019468 hasConcept C119857082 @default.
- W3000019468 hasConcept C132525143 @default.
- W3000019468 hasConcept C154945302 @default.
- W3000019468 hasConcept C157406716 @default.
- W3000019468 hasConcept C203776342 @default.
- W3000019468 hasConcept C22149727 @default.
- W3000019468 hasConcept C41008148 @default.
- W3000019468 hasConcept C41608201 @default.
- W3000019468 hasConcept C59404180 @default.
- W3000019468 hasConcept C75564084 @default.
- W3000019468 hasConcept C80444323 @default.
- W3000019468 hasConceptScore W3000019468C111919701 @default.
- W3000019468 hasConceptScore W3000019468C118505674 @default.
- W3000019468 hasConceptScore W3000019468C119857082 @default.
- W3000019468 hasConceptScore W3000019468C132525143 @default.
- W3000019468 hasConceptScore W3000019468C154945302 @default.
- W3000019468 hasConceptScore W3000019468C157406716 @default.
- W3000019468 hasConceptScore W3000019468C203776342 @default.
- W3000019468 hasConceptScore W3000019468C22149727 @default.
- W3000019468 hasConceptScore W3000019468C41008148 @default.
- W3000019468 hasConceptScore W3000019468C41608201 @default.
- W3000019468 hasConceptScore W3000019468C59404180 @default.
- W3000019468 hasConceptScore W3000019468C75564084 @default.
- W3000019468 hasConceptScore W3000019468C80444323 @default.
- W3000019468 hasLocation W30000194681 @default.
- W3000019468 hasOpenAccess W3000019468 @default.
- W3000019468 hasPrimaryLocation W30000194681 @default.
- W3000019468 hasRelatedWork W2923818335 @default.
- W3000019468 hasRelatedWork W3035116611 @default.
- W3000019468 hasRelatedWork W3044354590 @default.
- W3000019468 hasRelatedWork W3051479560 @default.
- W3000019468 hasRelatedWork W3094605108 @default.
- W3000019468 hasRelatedWork W3149439221 @default.
- W3000019468 hasRelatedWork W3208308319 @default.
- W3000019468 hasRelatedWork W4212923699 @default.
- W3000019468 hasRelatedWork W4284975088 @default.
- W3000019468 hasRelatedWork W4287763734 @default.
- W3000019468 isParatext "false" @default.
- W3000019468 isRetracted "false" @default.
- W3000019468 magId "3000019468" @default.
- W3000019468 workType "article" @default.