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}
}