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Analiza vremenskih grafova znanja

Analiza vremenskih grafova znanja proširuje standardne metode grafova znanja na podatke gde činjenice i odnosi nose vremenske oznake ili intervale važenja. Omogućava rasuđivanje o tome kako entiteti i relacije evoluiraju tokom vremena, podržavajući zadatke kao što su predikcija veza za buduće činjenice, klasifikacija vremenskih odnosa i prognoziranje događaja u dinamičkim relacionim podacima.

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Izvori

  1. Trivedi, R., Dai, H., Wang, Y., & Song, L. (2017). Know-Evolve: Deep temporal reasoning for dynamic knowledge graphs. Proceedings of the 34th International Conference on Machine Learning (ICML), pp. 3462–3471. link
  2. Dasgupta, S. S., Ray, S. N., & Talukdar, P. (2018). HyTE: Hyperplane-based temporally aware knowledge graph embedding. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 2001–2011. DOI: 10.18653/v1/D18-1225

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Temporal Knowledge Graph Analysis (TKG Analysis). ScholarGate. https://scholargate.app/sr/network-analysis/temporal-knowledge-graph-analysis

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ScholarGateTemporal Knowledge Graph Analysis (Temporal Knowledge Graph Analysis (TKG Analysis)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/network-analysis/temporal-knowledge-graph-analysis · Skup podataka: https://doi.org/10.5281/zenodo.20539026