NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning.

Wen Zhang|Mingyang Chen|Peter Knees|Norbert Boudens|Zhiwei Huang|Zhen Yao|Chris Kamphuis|Huajun Chen|Mingyang Chen|Peter Knees|Norbert Boudens|Zhiwei Huang|Chris Kamphuis|Huajun Chen


Anthology ID:DBLP:conf/sigir/ZhangYCHC23
Volume:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
Year:2023
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:3140-3144
URL:https://doi.org/10.1145/3539618.3591809
DOI:https://doi.org/10.1145/3539618.3591809
DBLP:conf/sigir/ZhangYCHC23
BibTeX:
@inproceedings{zhang-2023-neuralkgind, author = {Wen Zhang and Mingyang Chen and Peter Knees and Norbert Boudens and Zhiwei Huang and Zhen Yao and Chris Kamphuis and Huajun Chen and Mingyang Chen and Peter Knees and Norbert Boudens and Zhiwei Huang and Chris Kamphuis and Huajun Chen}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning}}, booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}}, pages = {3140--3144}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591809}, doi = {https://doi.org/10.1145/3539618.3591809} }