Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph.

Chenguang Du|Kaichun Yao|Hengshu Zhu|Deqing Wang|Fuzhen Zhuang|Hui Xiong


Anthology ID:DBLP:conf/sigir/DuYZWZ023
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:1721-1730
URL:https://doi.org/10.1145/3539618.3591765
DOI:https://doi.org/10.1145/3539618.3591765
DBLP:conf/sigir/DuYZWZ023
BibTeX:
@inproceedings{du-2023-seqhgnn, author = {Chenguang Du and Kaichun Yao and Hengshu Zhu and Deqing Wang and Fuzhen Zhuang and Hui Xiong}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph}}, 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 = {1721--1730}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591765}, doi = {https://doi.org/10.1145/3539618.3591765} }