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Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network
The interactions between humans and their environment, comprising living and non-living entities, can be studied via Social Network Analysis (SNA). Node classification, as well as community detection tasks, are still open research problems in SNA. Hence, SNA has become an interesting and appealing d...
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| Publicat a: | Computational Science – ICCS 2020 |
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| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7304720/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50433-5_15 |
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