Towards Multimodal Inductive Learning: Adaptively Embedding MMKG via Prototypes.

Shundong Yang|Jing Yang|Xiaowen Jiang|Yuan Gao|Laurence T. Yang|Ruikun Luo|Jieming Yang


Anthology ID:DBLP:conf/www/YangYJGYLY25
Volume:Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:109-118
URL:https://doi.org/10.1145/3696410.3714781
DOI:https://doi.org/10.1145/3696410.3714781
DBLP:conf/www/YangYJGYLY25
BibTeX:
@inproceedings{yang-2025-towards, author = {Shundong Yang and Jing Yang and Xiaowen Jiang and Yuan Gao and Laurence T. Yang and Ruikun Luo and Jieming Yang}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Towards Multimodal Inductive Learning: Adaptively Embedding MMKG via Prototypes}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {109--118}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714781}, doi = {https://doi.org/10.1145/3696410.3714781} }