Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384648832> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4384648832 abstract "In this paper, we propose neural-symbolic graph databases (NSGDs) that extends traditional graph data with content and structural embeddings in every node. The content embeddings can represent unstructured data (e.g., images, videos, and texts), while structural embeddings can be used to deal with incomplete graphs. We can advocate machine learning models (e.g., deep learning) to transform unstructured data and graph nodes to these embeddings. NSGDs can support a wide range of applications (e.g., online recommendation and natural language question answering) in social-media networks, multi-modal knowledge graphs and etc. As a typical search over graphs, we study subgraph search over a large NSGD, called neural-symbolic subgraph matching (NSMatch) that includes a novel ranking search function. Specifically, we develop a general algorithmic framework to process NSMatch efficiently. Using real-life multi-modal graphs, we experimentally verify the effectiveness, scalability and efficiency of NSMatch." @default.
- W4384648832 created "2023-07-19" @default.
- W4384648832 creator A5048552211 @default.
- W4384648832 creator A5073072234 @default.
- W4384648832 creator A5075039510 @default.
- W4384648832 creator A5079478693 @default.
- W4384648832 date "2023-07-18" @default.
- W4384648832 modified "2023-09-26" @default.
- W4384648832 title "Subgraph Search over Neural-Symbolic Graphs" @default.
- W4384648832 cites W1510148020 @default.
- W4384648832 cites W1570856340 @default.
- W4384648832 cites W1889855997 @default.
- W4384648832 cites W2035173902 @default.
- W4384648832 cites W2043354831 @default.
- W4384648832 cites W2060072498 @default.
- W4384648832 cites W2078446440 @default.
- W4384648832 cites W2100586946 @default.
- W4384648832 cites W2110026675 @default.
- W4384648832 cites W2140840007 @default.
- W4384648832 cites W2143363350 @default.
- W4384648832 cites W2143682328 @default.
- W4384648832 cites W2147405597 @default.
- W4384648832 cites W2283196293 @default.
- W4384648832 cites W2666600683 @default.
- W4384648832 cites W2762569911 @default.
- W4384648832 cites W2798385737 @default.
- W4384648832 cites W2807480793 @default.
- W4384648832 cites W2810583043 @default.
- W4384648832 cites W2948359422 @default.
- W4384648832 cites W2948742909 @default.
- W4384648832 cites W2963870853 @default.
- W4384648832 cites W2979129662 @default.
- W4384648832 cites W2982108874 @default.
- W4384648832 cites W2984806015 @default.
- W4384648832 cites W3045384077 @default.
- W4384648832 cites W3092965216 @default.
- W4384648832 cites W3136183693 @default.
- W4384648832 cites W3196481040 @default.
- W4384648832 doi "https://doi.org/10.1145/3539618.3591773" @default.
- W4384648832 hasPublicationYear "2023" @default.
- W4384648832 type Work @default.
- W4384648832 citedByCount "0" @default.
- W4384648832 crossrefType "proceedings-article" @default.
- W4384648832 hasAuthorship W4384648832A5048552211 @default.
- W4384648832 hasAuthorship W4384648832A5073072234 @default.
- W4384648832 hasAuthorship W4384648832A5075039510 @default.
- W4384648832 hasAuthorship W4384648832A5079478693 @default.
- W4384648832 hasConcept C154945302 @default.
- W4384648832 hasConcept C41008148 @default.
- W4384648832 hasConcept C48044578 @default.
- W4384648832 hasConcept C50644808 @default.
- W4384648832 hasConcept C77088390 @default.
- W4384648832 hasConcept C80444323 @default.
- W4384648832 hasConceptScore W4384648832C154945302 @default.
- W4384648832 hasConceptScore W4384648832C41008148 @default.
- W4384648832 hasConceptScore W4384648832C48044578 @default.
- W4384648832 hasConceptScore W4384648832C50644808 @default.
- W4384648832 hasConceptScore W4384648832C77088390 @default.
- W4384648832 hasConceptScore W4384648832C80444323 @default.
- W4384648832 hasLocation W43846488321 @default.
- W4384648832 hasOpenAccess W4384648832 @default.
- W4384648832 hasPrimaryLocation W43846488321 @default.
- W4384648832 hasRelatedWork W1525643724 @default.
- W4384648832 hasRelatedWork W2067938758 @default.
- W4384648832 hasRelatedWork W2333420780 @default.
- W4384648832 hasRelatedWork W2364921833 @default.
- W4384648832 hasRelatedWork W2368025536 @default.
- W4384648832 hasRelatedWork W2368437561 @default.
- W4384648832 hasRelatedWork W2375199418 @default.
- W4384648832 hasRelatedWork W2382623646 @default.
- W4384648832 hasRelatedWork W2390485179 @default.
- W4384648832 hasRelatedWork W3087771547 @default.
- W4384648832 isParatext "false" @default.
- W4384648832 isRetracted "false" @default.
- W4384648832 workType "article" @default.