Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned.

Max Berrendorf|Evgeniy Faerman|Valentyn Melnychuk|Volker Tresp|Thomas Seidl


Anthology ID:DBLP:conf/ecir/BerrendorfFMT020
Volume:Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II
Year:2020
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:3-11
URL:https://doi.org/10.1007/978-3-030-45442-5_1
DOI:https://doi.org/10.1007/978-3-030-45442-5_1
DBLP:conf/ecir/BerrendorfFMT020
BibTeX:
@inproceedings{berrendorf-2020-knowledge, author = {Max Berrendorf and Evgeniy Faerman and Valentyn Melnychuk and Volker Tresp and Thomas Seidl}, editor = {Joemon M. Jose and Emine Yilmaz and Jo\~{a}o Magalh\~{a}es and Pablo Castells and Nicola Ferro and M\'{a}rio J. Silva and Fl\'{a}vio Martins}, title = {{Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned}}, booktitle = {{Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II}}, series = {Lecture Notes in Computer Science}, volume = {12036}, pages = {3--11}, publisher = {Springer}, year = {2020}, url = {https://doi.org/10.1007/978-3-030-45442-5_1}, doi = {https://doi.org/10.1007/978-3-030-45442-5_1} }