Introduction to Kdd 2026 Causal Representation Learning From Network Data
Let's dive into the details surrounding Kdd 2026 Causal Representation Learning From Network Data. Jifan Zhang, Michelle Li, Elena Zheleva.
Kdd 2026 Causal Representation Learning From Network Data Comprehensive Overview
Zihan Shao, Chang Lu, Renate Schmidt, Yizheng Zhao. Invited talk at the LM4Plan Workshop (Language Models for Planning), ICML Mengyue Yang,University College London This video provides a brief introduction to the importance of
David Yoon Suk Kang, So-Bin Jung, Sang-Wook Kim.
Summary & Highlights for Kdd 2026 Causal Representation Learning From Network Data
- Guangyu Wang, Zhaonan Wang.
- NMPRC Regular Open Meeting | July 30, 2026
- Lingdu Kong, Xiaochun Yang, Shuo Li, Tieying Li, Bin Wang, Chunhui Shen, Xiang Wang, Feibo Li.
- Yuchen Yang, Teng Yin, Yang Guo, Qingheng Gao, Jixi Shan, Hang Cheng, Xiuqi Huang, Jun Song, Rui Shi, Wei Chen.
- Slides : https://drive.google.com/file/d/1k-lUBlzmAouG-2f0qdYTERoJm0Yzr0pc/view?usp=sharing
That wraps up our extensive overview of Kdd 2026 Causal Representation Learning From Network Data.