RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs

Genet Asefa Gesese, Harald Sack, Mehwish Alam. RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs. In Alessandro Artale, Diego Calvanese, Haofen Wang, Xiaowang Zhang, editors, Proceedings of the 11th International Joint Conference on Knowledge Graphs, IJCKG 2022, Hangzhou, China, October 27-28, 2022. pages 82-90, ACM, 2022. [doi]

@inproceedings{GeseseSA22,
  title = {RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs},
  author = {Genet Asefa Gesese and Harald Sack and Mehwish Alam},
  year = {2022},
  doi = {10.1145/3579051.3579066},
  url = {https://doi.org/10.1145/3579051.3579066},
  researchr = {https://researchr.org/publication/GeseseSA22},
  cites = {0},
  citedby = {0},
  pages = {82-90},
  booktitle = {Proceedings of the 11th International Joint Conference on Knowledge Graphs, IJCKG 2022, Hangzhou, China, October 27-28, 2022},
  editor = {Alessandro Artale and Diego Calvanese and Haofen Wang and Xiaowang Zhang},
  publisher = {ACM},
  isbn = {978-1-4503-9987-6},
}