ps://jens-lehmann.org/research-areas/representation-learning-in-knowledge-graphs/). *jens-lehmann.org*. Retrieved 2025-08-18. 34. [↑](#cite_ref-34) Hongwei Wang (October 2018). "RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems". *Proceedings of the 27th ACM International Conference on Information and Knowledge Management*. pp. 417–426. [arXiv](https://en.wikipedia.org/wiki/ArXiv_(identifier) "ArXiv (identifier)"):[1803.03467](https://arxiv.org/abs/1803.03467). [doi](https://en.wikipedia.org/wiki/Doi_(identifier) "Doi (identifier)"):[10.1145/3269206.3271739](https://doi.org/10.1145%2F3269206.3271739). [ISBN](https://en.wikipedia.org/wiki/ISBN_(identifier) "ISBN (identifier)") [9781450360142](https://en.wikipedia.org/wiki/Special:BookSources/9781450360142 "Special:BookSources/9781450360142"). [S2CID](https://en.wikipedia.org/wiki/S2CID_(identifier) "S2CID (identifier)") [3766110](https://api.semanticscholar.org/CorpusID:3766110). 35. [↑](#cite_ref-35) Ristoski, Petar; Paulheim, Heiko (2016), ["RDF2Vec: RDF Graph Embeddings for Data Mining"](https://madoc.bib.uni-mannheim.de/41307/1/Ristoski_RDF2Vec.pdf) (PDF), *The Semantic Web – ISWC 2016*, Lecture Notes in Computer Science, vol. 9981, pp. 498–514, [doi](https://en.wikipedia.org/wiki/Doi_(identifier) "Doi (identifier)"):[10.1007/978-3-319-46523-4\_30](https://doi.org/10.1007%2F978-3-319-46523-4_30), [ISBN](https://en.wikipedia.org/wiki/ISBN_(identifier) "ISBN (identifier)") [978-3-319-46522-7](https://en.wikipedia.org/wiki/Special:BookSources/978-3-319-46522-7 "Special:BookSources/978-3-319-46522-7") 36. [↑](#cite_ref-36) Zhou, Jie; et al. (2020). ["Graph neural networks: A review of methods and applications"](https://doi.org/10.1016%2Fj.aiopen.2021.01.001). *AI Open*. **1** (1): 57–81. [arXiv](https://en.wikipedia.org/wiki/ArXiv_(identifier) "ArXiv (identifier)"):[1812.08434](https://arxiv.org/abs/1812.08434). [doi](https://en.wikipedia.org/wiki/Doi_(identifier) "Doi (identifier)"):[10.1016/j.aiopen.2021.01.001](https://doi.org/10.1016%2Fj.aiopen.2021.01.001). [S2CID](https://en.wikipedia.org/wiki/S2CID_(identifier) "S2CID (identifier)") [56517517](https://api.semanticscholar.org/CorpusID:56517517) – via Elsevier Science Direct. 37. [↑](#cite_ref-37) Ye, Zi; Kumar, Yogan Jaya; Sing, Goh Ong; Song, Fengyan; Wang, Junsong (2022). ["A comprehensive survey of graph neural networks for knowledge graphs"](https://doi.org/10.1109%2FACCESS.2022.3191784). *IEEE Access*. **10**: 75729–7574. [Bibcode](https://en.wikipedia.org/wiki/Bibcode_(identifier) "Bibcode (identifier)"):[2022IEEEA..1075729Y](https://ui.adsabs.harvard.edu/abs/2022IEEEA..1075729Y). [doi](https://en.wikipedia.org/wiki/Doi_(identifier) "Doi (identifier)"):[10.1109/ACCESS.2022.3191784](https://doi.org/10.1109%2FACCESS.2022.3191784). [S2CID](https://en.wikipedia.org/wiki/S2CID_(identifier) "S2CID (identifier)") [250654689](https://api.semanticscholar.org/CorpusID:250654689) – via IEEE Xplore. 38. [↑](#cite_ref-38) Berrendorf, Max; Faerman, Evgeniy; Melnychuk, Valentyn; Tresp, Volker; Seidl, Thomas (April 14–17, 2020). *Knowledge graph entity alignment with graph convolutional networks: lessons learned*. Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal. Lecture Notes in Computer Science. Vol. Proceedings, Part II. pp. 3–11. [arXiv](https://en.wikipedia.org/wiki/ArXiv_(identifier) "ArXiv (identifier)"):[1911.08342](https://arxiv.org/abs/1911.08342). [doi](https://en.wikipedia.org/wiki/Doi_(identifier) "Doi (identifier)"):[10.1007/978-3-030-45442-5\_1](https://doi.org/10.1007%2F978-3-030-45442-5_1). [ISBN](https://en.wikipedia.org/wiki/ISBN_(identifier) "ISBN (identifier)") [978-3-030-45441-8](https://en.wikipedia.org/wiki/Special:BookSources/978-3-030-45441-8 "Special:BookSources/978-3-030-45441-8"). [S2CID](https://en.wikipedia.org/wiki/S2CID_(identifier) "S2CID (identifier)") [208158314](https://api.semanticscholar.org/CorpusID:208158314) – via Springer International Publishing. 39. [↑](#cite_ref-39) Zequn, Sun; Qingheng, Zhang; Wei, Hu; Chengming, Wang; Muhao, Chen; Farahnaz, Akrami; Chengkai, Li (2020-03-26). ["A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs"](https://par.nsf.gov/servlets/purl/10302370). *Proceedings of the VLDB Endowment*. **13** (12): 2326–2340. [arXiv](https://en.wikipedia.org/wiki/ArXiv_(identifier) "ArXiv (identifier)"):[2003.07743](https://arxiv.org/abs/2003.07743). [doi](https://en.wikipedia.org/wiki/Doi_(identifier) "Doi (identifier)"):[10.14778/3407790.3407828](https://doi.org/10.14778%2F3407790.3407828). Retrieved 2025-08-18. 40. [↑](#cite_ref-40) Chaurasiya, Deepak; Surisetty, Anil; Kumar, Nitish; Singh, Alok; Dey, Vikrant; Malhotra, Aakarsh; Dhama, Gaurav; Arora, Ankur (2022). "Entity alignment for knowledge graphs: progress, challenges, and empirical studies". [arXiv](https://en.wikipedia.org/wiki/ArXiv_(identifier) "ArXiv (identifier)"):[2205.08777](https://arxiv.org/abs/2205.08777) [[cs.AI](https://arxiv.org/archive/cs.AI)]. 41. [↑](#cite_ref-41) Hogan, Aidan; Lippolis, Anna Sofia; Klironomos, Antonis; Milon-Flores, Daniela F.; Zheng, Heng; Jouglar, Alexane; Norouzi, Ebrahim (2023). ["Enhancing Entity Alignment Between Wikidata and ArtGraph using LLMs"](https://aidanhogan.com/docs/art_wikidata_kgs_llms.pdf) (PDF). *Proceedings of the International Workshop on Semantic Web and Ontology Design for Cultural Heritage* – via International Workshop on Semantic Web and Ontology Design for Cultural Heritage (SWODCH), Athens, Greece. 42. [↑](#cite_ref-42) Wang, Quan; Mao, Zhendong; Wang, Bin; Guo, Li (2017). "Knowledge Graph Embedding: A Survey of Approaches and Applications". *[IEEE Transactions on Knowledge and Data Engineering](https://en.wikipedia.org/wiki/IEEE_Transactions_on_Knowledge_and_Data_Engineering?action=edit&redlink=1 "IEEE Transactions on Knowledge and Data Engineering (page does not exist)")*. **29** (12). [IEEE](https://en.wikipedia.org/wiki/IEEE "IEEE"): 2724–2743. [doi](https://en.wikipedia.org/wiki/Doi_(identifier) "Doi (identifier)"):[10.1109/TKDE.2017.2754499](https://doi.org/10.1109%2FTKDE.2017.2754499).

{
  "evidence_unit_id": "unit:de867fff732f1cc656cc:966eb0eb0bbf8e08ef58:1:32a733b2aa4c7607272f",
  "artifact_id": "artifact:de867fff732f1cc656cc:15d76103d293e31bf13c",
  "text": "ps://jens-lehmann.org/research-areas/representation-learning-in-knowledge-graphs/). *jens-lehmann.org*. Retrieved 2025-08-18.\n34. [↑](#cite_ref-34) Hongwei Wang (October 2018). \"RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems\". *Proceedings of the 27th ACM International Conference on Information and Knowledge Management*. pp. 417–426. [arXiv](https://en.wikipedia.org/wiki/ArXiv_(identifier) \"ArXiv (identifier)\"):[1803.03467](https://arxiv.org/abs/1803.03467). [doi](https://en.wikipedia.org/wiki/Doi_(identifier) \"Doi (identifier)\"):[10.1145/3269206.3271739](https://doi.org/10.1145%2F3269206.3271739). [ISBN](https://en.wikipedia.org/wiki/ISBN_(identifier) \"ISBN (identifier)\") [9781450360142](https://en.wikipedia.org/wiki/Special:BookSources/9781450360142 \"Special:BookSources/9781450360142\"). [S2CID](https://en.wikipedia.org/wiki/S2CID_(identifier) \"S2CID (identifier)\") [3766110](https://api.semanticscholar.org/CorpusID:3766110).\n35. [↑](#cite_ref-35) Ristoski, Petar; Paulheim, Heiko (2016), [\"RDF2Vec: RDF Graph Embeddings for Data Mining\"](https://madoc.bib.uni-mannheim.de/41307/1/Ristoski_RDF2Vec.pdf) (PDF), *The Semantic Web – ISWC 2016*, Lecture Notes in Computer Science, vol. 9981, pp. 498–514, [doi](https://en.wikipedia.org/wiki/Doi_(identifier) \"Doi (identifier)\"):[10.1007/978-3-319-46523-4\\_30](https://doi.org/10.1007%2F978-3-319-46523-4_30), [ISBN](https://en.wikipedia.org/wiki/ISBN_(identifier) \"ISBN (identifier)\") [978-3-319-46522-7](https://en.wikipedia.org/wiki/Special:BookSources/978-3-319-46522-7 \"Special:BookSources/978-3-319-46522-7\")\n36. [↑](#cite_ref-36) Zhou, Jie; et al. (2020). [\"Graph neural networks: A review of methods and applications\"](https://doi.org/10.1016%2Fj.aiopen.2021.01.001). *AI Open*. **1** (1): 57–81. [arXiv](https://en.wikipedia.org/wiki/ArXiv_(identifier) \"ArXiv (identifier)\"):[1812.08434](https://arxiv.org/abs/1812.08434). [doi](https://en.wikipedia.org/wiki/Doi_(identifier) \"Doi (identifier)\"):[10.1016/j.aiopen.2021.01.001](https://doi.org/10.1016%2Fj.aiopen.2021.01.001). [S2CID](https://en.wikipedia.org/wiki/S2CID_(identifier) \"S2CID (identifier)\") [56517517](https://api.semanticscholar.org/CorpusID:56517517) – via Elsevier Science Direct.\n37. [↑](#cite_ref-37) Ye, Zi; Kumar, Yogan Jaya; Sing, Goh Ong; Song, Fengyan; Wang, Junsong (2022). [\"A comprehensive survey of graph neural networks for knowledge graphs\"](https://doi.org/10.1109%2FACCESS.2022.3191784). *IEEE Access*. **10**: 75729–7574. [Bibcode](https://en.wikipedia.org/wiki/Bibcode_(identifier) \"Bibcode (identifier)\"):[2022IEEEA..1075729Y](https://ui.adsabs.harvard.edu/abs/2022IEEEA..1075729Y). [doi](https://en.wikipedia.org/wiki/Doi_(identifier) \"Doi (identifier)\"):[10.1109/ACCESS.2022.3191784](https://doi.org/10.1109%2FACCESS.2022.3191784). [S2CID](https://en.wikipedia.org/wiki/S2CID_(identifier) \"S2CID (identifier)\") [250654689](https://api.semanticscholar.org/CorpusID:250654689) – via IEEE Xplore.\n38. [↑](#cite_ref-38) Berrendorf, Max; Faerman, Evgeniy; Melnychuk, Valentyn; Tresp, Volker; Seidl, Thomas (April 14–17, 2020). *Knowledge graph entity alignment with graph convolutional networks: lessons learned*. Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal. Lecture Notes in Computer Science. Vol. Proceedings, Part II. pp. 3–11. [arXiv](https://en.wikipedia.org/wiki/ArXiv_(identifier) \"ArXiv (identifier)\"):[1911.08342](https://arxiv.org/abs/1911.08342). [doi](https://en.wikipedia.org/wiki/Doi_(identifier) \"Doi (identifier)\"):[10.1007/978-3-030-45442-5\\_1](https://doi.org/10.1007%2F978-3-030-45442-5_1). [ISBN](https://en.wikipedia.org/wiki/ISBN_(identifier) \"ISBN (identifier)\") [978-3-030-45441-8](https://en.wikipedia.org/wiki/Special:BookSources/978-3-030-45441-8 \"Special:BookSources/978-3-030-45441-8\"). [S2CID](https://en.wikipedia.org/wiki/S2CID_(identifier) \"S2CID (identifier)\") [208158314](https://api.semanticscholar.org/CorpusID:208158314) – via Springer International Publishing.\n39. [↑](#cite_ref-39) Zequn, Sun; Qingheng, Zhang; Wei, Hu; Chengming, Wang; Muhao, Chen; Farahnaz, Akrami; Chengkai, Li (2020-03-26). [\"A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs\"](https://par.nsf.gov/servlets/purl/10302370). *Proceedings of the VLDB Endowment*. **13** (12): 2326–2340. [arXiv](https://en.wikipedia.org/wiki/ArXiv_(identifier) \"ArXiv (identifier)\"):[2003.07743](https://arxiv.org/abs/2003.07743). [doi](https://en.wikipedia.org/wiki/Doi_(identifier) \"Doi (identifier)\"):[10.14778/3407790.3407828](https://doi.org/10.14778%2F3407790.3407828). Retrieved 2025-08-18.\n40. [↑](#cite_ref-40) Chaurasiya, Deepak; Surisetty, Anil; Kumar, Nitish; Singh, Alok; Dey, Vikrant; Malhotra, Aakarsh; Dhama, Gaurav; Arora, Ankur (2022). \"Entity alignment for knowledge graphs: progress, challenges, and empirical studies\". [arXiv](https://en.wikipedia.org/wiki/ArXiv_(identifier) \"ArXiv (identifier)\"):[2205.08777](https://arxiv.org/abs/2205.08777) [[cs.AI](https://arxiv.org/archive/cs.AI)].\n41. [↑](#cite_ref-41) Hogan, Aidan; Lippolis, Anna Sofia; Klironomos, Antonis; Milon-Flores, Daniela F.; Zheng, Heng; Jouglar, Alexane; Norouzi, Ebrahim (2023). [\"Enhancing Entity Alignment Between Wikidata and ArtGraph using LLMs\"](https://aidanhogan.com/docs/art_wikidata_kgs_llms.pdf) (PDF). *Proceedings of the International Workshop on Semantic Web and Ontology Design for Cultural Heritage* – via International Workshop on Semantic Web and Ontology Design for Cultural Heritage (SWODCH), Athens, Greece.\n42. [↑](#cite_ref-42) Wang, Quan; Mao, Zhendong; Wang, Bin; Guo, Li (2017). \"Knowledge Graph Embedding: A Survey of Approaches and Applications\". *[IEEE Transactions on Knowledge and Data Engineering](https://en.wikipedia.org/wiki/IEEE_Transactions_on_Knowledge_and_Data_Engineering?action=edit&redlink=1 \"IEEE Transactions on Knowledge and Data Engineering (page does not exist)\")*. **29** (12). [IEEE](https://en.wikipedia.org/wiki/IEEE \"IEEE\"): 2724–2743. [doi](https://en.wikipedia.org/wiki/Doi_(identifier) \"Doi (identifier)\"):[10.1109/TKDE.2017.2754499](https://doi.org/10.1109%2FTKDE.2017.2754499).",
  "access_class": "public",
  "heading": "Entity alignment (part 3 of 4)",
  "observed_at": "2026-07-18T21:40:59.214Z",
  "state": "active"
}