Counterfactual Learning on Graphs: A Survey

Counterfactual Learning on Graphs: A Survey

3 April 2023

Charu C. Aggarwal

Papers citing "Counterfactual Learning on Graphs: A Survey"

18 / 18 papers shown

Title
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection Chunjing Xiao Shikang Pang Wenxin Tai Yanlong Huang Goce Trajcevski Fan Zhou 20 2 0 18 Jul 2024
How Interpretable Are Interpretable Graph Neural Networks? Yongqiang Chen Yatao Bian Bo Han James Cheng 29 4 0 12 Jun 2024
Fair Graph Neural Network with Supervised Contrastive Regularization M. T. Kejani Fadi Dornaika Jean-Michel Loubes 25 0 0 09 Apr 2024
Counterfactual Reasoning with Knowledge Graph Embeddings Lena Zellinger Andreas Stephan Benjamin Roth 24 0 0 11 Mar 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 19 2 0 19 Dec 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations Teng Xiao Huaisheng Zhu Zhengyu Chen Suhang Wang 11 31 0 29 Oct 2023
Counterfactual Graph Transformer for Traffic Flow Prediction Yingbin Yang Kai Du Xingyuan Dai Jianwu Fang AI4TS 22 1 0 01 Aug 2023
Towards Fair Graph Neural Networks via Graph Counterfactual Zhimeng Guo Jialiang Li Teng Xiao Yao Ma Suhang Wang 17 10 0 10 Jul 2023
A Survey on Explainability of Graph Neural Networks Jaykumar Kakkad Jaspal Jannu Kartik Sharma Charu C. Aggarwal Sourav Medya 21 23 0 02 Jun 2023
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 27 30 0 21 Oct 2022
FlowX: Towards Explainable Graph Neural Networks via Message Flows Shurui Gui Hao Yuan Jie Wang Qicheng Lao Kang Li Shuiwang Ji 15 8 0 26 Jun 2022
Estimating counterfactual treatment outcomes over time in complex multiagent scenarios Keisuke Fujii Koh Takeuchi Atsushi Kuribayashi Naoya Takeishi Yoshinobu Kawahara K. Takeda CML 12 14 0 04 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 34 98 0 16 May 2022
Causal Learning for Socially Responsible AI Lu Cheng Ahmadreza Mosallanezhad Paras Sheth Huan Liu 58 13 0 25 Apr 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 102 87 0 05 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 159 463 0 31 Dec 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 164 1,877 0 02 Feb 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 283 4,143 0 23 Aug 2019