NoTeNet: Normalized Mutual Information-Driven Tuning-free Dynamic Dependence Network Inference Method for Multimodal Data.

Xiao Tan|Yangyang Shen|Yan Zhang|Jingwen Shao|Dian Shen|Meng Wang|Beilun Wang


Anthology ID:DBLP:conf/www/0005S0SS0W25
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:2935-2947
URL:https://doi.org/10.1145/3696410.3714855
DOI:https://doi.org/10.1145/3696410.3714855
DBLP:conf/www/0005S0SS0W25
BibTeX:
@inproceedings{tan-2025-notenet, author = {Xiao Tan and Yangyang Shen and Yan Zhang and Jingwen Shao and Dian Shen and Meng Wang and Beilun Wang}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{NoTeNet: Normalized Mutual Information-Driven Tuning-free Dynamic Dependence Network Inference Method for Multimodal Data}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {2935--2947}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714855}, doi = {https://doi.org/10.1145/3696410.3714855} }