Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312282396> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4312282396 endingPage "223" @default.
- W4312282396 startingPage "217" @default.
- W4312282396 abstract "Existing works about link prediction rely mainly on pooling operations which cause loss of edge information or similarity assumptions, so that they are limited in specific networks, and mainly supervised learning methods. We propose a Multi-scale Subgraph Contrastive Learning (MSCL) method. To adapt to networks of different sizes and make direct use of edge information, MSCL converts a sampled subgraph centered on the target link into a line graph as a node-scale to represent links, and mines deep representations by combining two scales information, subgraph-scale and line graph node-scale. After learning the information of the two subgraphs separately by encoders, we use contrastive learning to balance the information of two scales to alleviate the over-reliance of the model on labels and enhance the model’s robustness. MSCL outperforms a set of state-of-the-art graph representation learning solutions on link prediction task in a variety of graphs including biology networks and social networks." @default.
- W4312282396 created "2023-01-04" @default.
- W4312282396 creator A5004786498 @default.
- W4312282396 creator A5024457019 @default.
- W4312282396 creator A5028738245 @default.
- W4312282396 creator A5048984067 @default.
- W4312282396 date "2022-01-01" @default.
- W4312282396 modified "2023-10-18" @default.
- W4312282396 title "Multi-scale Subgraph Contrastive Learning for Link Prediction" @default.
- W4312282396 cites W2026417691 @default.
- W4312282396 cites W2066636486 @default.
- W4312282396 cites W2117831564 @default.
- W4312282396 cites W2742503211 @default.
- W4312282396 cites W2788919350 @default.
- W4312282396 cites W2950742983 @default.
- W4312282396 cites W2962756421 @default.
- W4312282396 cites W3160381762 @default.
- W4312282396 doi "https://doi.org/10.1007/978-3-031-21244-4_16" @default.
- W4312282396 hasPublicationYear "2022" @default.
- W4312282396 type Work @default.
- W4312282396 citedByCount "1" @default.
- W4312282396 countsByYear W43122823962023 @default.
- W4312282396 crossrefType "book-chapter" @default.
- W4312282396 hasAuthorship W4312282396A5004786498 @default.
- W4312282396 hasAuthorship W4312282396A5024457019 @default.
- W4312282396 hasAuthorship W4312282396A5028738245 @default.
- W4312282396 hasAuthorship W4312282396A5048984067 @default.
- W4312282396 hasConcept C104317684 @default.
- W4312282396 hasConcept C111919701 @default.
- W4312282396 hasConcept C118505674 @default.
- W4312282396 hasConcept C119857082 @default.
- W4312282396 hasConcept C127413603 @default.
- W4312282396 hasConcept C132525143 @default.
- W4312282396 hasConcept C154945302 @default.
- W4312282396 hasConcept C185592680 @default.
- W4312282396 hasConcept C41008148 @default.
- W4312282396 hasConcept C55493867 @default.
- W4312282396 hasConcept C59404180 @default.
- W4312282396 hasConcept C62611344 @default.
- W4312282396 hasConcept C63479239 @default.
- W4312282396 hasConcept C66938386 @default.
- W4312282396 hasConcept C70437156 @default.
- W4312282396 hasConcept C80444323 @default.
- W4312282396 hasConceptScore W4312282396C104317684 @default.
- W4312282396 hasConceptScore W4312282396C111919701 @default.
- W4312282396 hasConceptScore W4312282396C118505674 @default.
- W4312282396 hasConceptScore W4312282396C119857082 @default.
- W4312282396 hasConceptScore W4312282396C127413603 @default.
- W4312282396 hasConceptScore W4312282396C132525143 @default.
- W4312282396 hasConceptScore W4312282396C154945302 @default.
- W4312282396 hasConceptScore W4312282396C185592680 @default.
- W4312282396 hasConceptScore W4312282396C41008148 @default.
- W4312282396 hasConceptScore W4312282396C55493867 @default.
- W4312282396 hasConceptScore W4312282396C59404180 @default.
- W4312282396 hasConceptScore W4312282396C62611344 @default.
- W4312282396 hasConceptScore W4312282396C63479239 @default.
- W4312282396 hasConceptScore W4312282396C66938386 @default.
- W4312282396 hasConceptScore W4312282396C70437156 @default.
- W4312282396 hasConceptScore W4312282396C80444323 @default.
- W4312282396 hasLocation W43122823961 @default.
- W4312282396 hasOpenAccess W4312282396 @default.
- W4312282396 hasPrimaryLocation W43122823961 @default.
- W4312282396 hasRelatedWork W2914959431 @default.
- W4312282396 hasRelatedWork W2942587884 @default.
- W4312282396 hasRelatedWork W2944724518 @default.
- W4312282396 hasRelatedWork W2946121727 @default.
- W4312282396 hasRelatedWork W3093454656 @default.
- W4312282396 hasRelatedWork W3145941582 @default.
- W4312282396 hasRelatedWork W4288347894 @default.
- W4312282396 hasRelatedWork W4306177400 @default.
- W4312282396 hasRelatedWork W4307933185 @default.
- W4312282396 hasRelatedWork W4327810378 @default.
- W4312282396 isParatext "false" @default.
- W4312282396 isRetracted "false" @default.
- W4312282396 workType "book-chapter" @default.