Relating Graph Neural Networks to Structural Causal Models

Relating Graph Neural Networks to Structural Causal Models

9 September 2021

Matej Zečević

Petar Velickovic

Kristian Kersting

Papers citing "Relating Graph Neural Networks to Structural Causal Models"

8 / 8 papers shown

Title
Causal Mean Field Multi-Agent Reinforcement Learning Hao Ma Zhiqiang Pu Yi Pan Boyin Liu Junlong Gao Zhenyu Guo 61 0 0 20 Feb 2025
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 26 11 0 07 Nov 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 31 31 0 30 Sep 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 10 119 0 11 Apr 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 11 67 0 21 Feb 2022
Causal Attention for Interpretable and Generalizable Graph Classification Yongduo Sui Xiang Wang Jiancan Wu Min-Bin Lin Xiangnan He Tat-Seng Chua CML OOD 12 151 0 30 Dec 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 163 1,095 0 27 Apr 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016