FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4378515281> ?p ?o ?g. }

• W4378515281 endingPage "754" @default.
• W4378515281 startingPage "754" @default.
• W4378515281 abstract "Identifying influential nodes is a key research topic in complex networks, and there have been many studies based on complex networks to explore the influence of nodes. Graph neural networks (GNNs) have emerged as a prominent deep learning architecture, capable of efficiently aggregating node information and discerning node influence. However, existing graph neural networks often ignore the strength of the relationships between nodes when aggregating information about neighboring nodes. In complex networks, neighboring nodes often do not have the same influence on the target node, so the existing graph neural network methods are not effective. In addition, the diversity of complex networks also makes it difficult to adapt node features with a single attribute to different types of networks. To address the above problems, the paper constructs node input features using information entropy combined with the node degree value and the average degree of the neighbor, and proposes a simple and effective graph neural network model. The model obtains the strength of the relationships between nodes by considering the degree of neighborhood overlap, and uses this as the basis for message passing, thereby effectively aggregating information about nodes and their neighborhoods. Experiments are conducted on 12 real networks, using the SIR model to verify the effectiveness of the model with the benchmark method. The experimental results show that the model can identify the influence of nodes in complex networks more effectively." @default.
• W4378515281 created "2023-05-28" @default.
• W4378515281 creator A5041280931 @default.
• W4378515281 creator A5074089899 @default.
• W4378515281 date "2023-05-05" @default.
• W4378515281 modified "2023-09-29" @default.
• W4378515281 title "Identifying Influential Nodes in Complex Networks Based on Information Entropy and Relationship Strength" @default.
• W4378515281 cites W131619556 @default.
• W4378515281 cites W1967570846 @default.
• W4378515281 cites W1970913835 @default.
• W4378515281 cites W1971937094 @default.
• W4378515281 cites W2015953751 @default.
• W4378515281 cites W2026417691 @default.
• W4378515281 cites W2028225313 @default.
• W4378515281 cites W2040763707 @default.
• W4378515281 cites W2041157860 @default.
• W4378515281 cites W2066636486 @default.
• W4378515281 cites W2071435255 @default.
• W4378515281 cites W2112090702 @default.
• W4378515281 cites W2127800791 @default.
• W4378515281 cites W2128036243 @default.
• W4378515281 cites W2128438887 @default.
• W4378515281 cites W2133131640 @default.
• W4378515281 cites W2141113219 @default.
• W4378515281 cites W2146530408 @default.
• W4378515281 cites W2148606196 @default.
• W4378515281 cites W2396727997 @default.
• W4378515281 cites W2793239561 @default.
• W4378515281 cites W2797105966 @default.
• W4378515281 cites W2886158220 @default.
• W4378515281 cites W2953892166 @default.
• W4378515281 cites W2963568110 @default.
• W4378515281 cites W3013065980 @default.
• W4378515281 cites W3017207875 @default.
• W4378515281 cites W3043948261 @default.
• W4378515281 cites W3100069540 @default.
• W4378515281 cites W3103141125 @default.
• W4378515281 cites W3127873991 @default.
• W4378515281 cites W3194104953 @default.
• W4378515281 cites W4212873627 @default.
• W4378515281 cites W4213278816 @default.
• W4378515281 cites W4220931320 @default.
• W4378515281 cites W4229075624 @default.
• W4378515281 cites W4255898812 @default.
• W4378515281 cites W4285043724 @default.
• W4378515281 cites W4289523213 @default.
• W4378515281 doi "https://doi.org/10.3390/e25050754" @default.
• W4378515281 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37238509" @default.
• W4378515281 hasPublicationYear "2023" @default.
• W4378515281 type Work @default.
• W4378515281 citedByCount "0" @default.
• W4378515281 crossrefType "journal-article" @default.
• W4378515281 hasAuthorship W4378515281A5041280931 @default.
• W4378515281 hasAuthorship W4378515281A5074089899 @default.
• W4378515281 hasBestOaLocation W43785152811 @default.
• W4378515281 hasConcept C106301342 @default.
• W4378515281 hasConcept C121332964 @default.
• W4378515281 hasConcept C124101348 @default.
• W4378515281 hasConcept C127413603 @default.
• W4378515281 hasConcept C132525143 @default.
• W4378515281 hasConcept C136764020 @default.
• W4378515281 hasConcept C154945302 @default.
• W4378515281 hasConcept C34947359 @default.
• W4378515281 hasConcept C41008148 @default.
• W4378515281 hasConcept C50644808 @default.
• W4378515281 hasConcept C62520636 @default.
• W4378515281 hasConcept C62611344 @default.
• W4378515281 hasConcept C66938386 @default.
• W4378515281 hasConcept C80444323 @default.
• W4378515281 hasConceptScore W4378515281C106301342 @default.
• W4378515281 hasConceptScore W4378515281C121332964 @default.
• W4378515281 hasConceptScore W4378515281C124101348 @default.
• W4378515281 hasConceptScore W4378515281C127413603 @default.
• W4378515281 hasConceptScore W4378515281C132525143 @default.
• W4378515281 hasConceptScore W4378515281C136764020 @default.
• W4378515281 hasConceptScore W4378515281C154945302 @default.
• W4378515281 hasConceptScore W4378515281C34947359 @default.
• W4378515281 hasConceptScore W4378515281C41008148 @default.
• W4378515281 hasConceptScore W4378515281C50644808 @default.
• W4378515281 hasConceptScore W4378515281C62520636 @default.
• W4378515281 hasConceptScore W4378515281C62611344 @default.
• W4378515281 hasConceptScore W4378515281C66938386 @default.
• W4378515281 hasConceptScore W4378515281C80444323 @default.
• W4378515281 hasIssue "5" @default.
• W4378515281 hasLocation W43785152811 @default.
• W4378515281 hasLocation W43785152812 @default.
• W4378515281 hasOpenAccess W4378515281 @default.
• W4378515281 hasPrimaryLocation W43785152811 @default.
• W4378515281 hasRelatedWork W1641227098 @default.
• W4378515281 hasRelatedWork W2059099965 @default.
• W4378515281 hasRelatedWork W2376775718 @default.
• W4378515281 hasRelatedWork W3023002208 @default.
• W4378515281 hasRelatedWork W3196755225 @default.
• W4378515281 hasRelatedWork W4205580976 @default.
• W4378515281 hasRelatedWork W4294953534 @default.
• W4378515281 hasRelatedWork W4311638216 @default.
• W4378515281 hasRelatedWork W4378802270 @default.
• W4378515281 hasRelatedWork W2186766808 @default.

• next