A Paper Accepted for ECML PKDD 2023

Our paper proposing a method for estimating individual treatment effects on graphs representing multiple types of relationships has been accepted to ECML PKDD 2023, an international conference in the field of machine learning and data mining:
Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao, Koh Takeuchi, Hisashi Kashima.
Estimating Treatment Effects Under Heterogeneous Interference.
In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2023.