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"

12 / 12 papers shown

Title
Causal Mean Field Multi-Agent Reinforcement Learning Hao Ma Zhiqiang Pu Yi Pan Boyin Liu Junlong Gao Zhenyu Guo 75 0 0 20 Feb 2025
Integrating Causality with Neurochaos Learning: Proposed Approach and Research Agenda Nanjangud C. Narendra Nithin Nagaraj OOD CML 39 0 0 23 Jan 2025
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network Yang Sun Yifan Xie BDL CML 28 1 0 28 Jan 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 28 11 0 07 Nov 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 39 31 0 30 Sep 2022
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment Zeyi Liu Zhenjia Xu Shuran Song 35 2 0 17 Jul 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 28 124 0 11 Apr 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 19 68 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 17 152 0 30 Dec 2021
A Taxonomy for Inference in Causal Model Families Matej Zevcević D. Dhami Kristian Kersting 11 1 0 22 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,104 0 27 Apr 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,236 0 24 Nov 2016