Generative Causal Explanations for Graph Neural Networks

14 April 2021

Wanyu Lin

Papers citing "Generative Causal Explanations for Graph Neural Networks"

33 / 33 papers shown

Title
Causal invariant geographic network representations with feature and structural distribution shifts Yuhan Wang Silu He Qinyao Luo Hongyuan Yuan Ling Zhao Jiawei Zhu Haifeng Li OOD 64 0 0 25 Mar 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 68 2 0 14 Feb 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Z. Hao 46 7 0 31 Dec 2024
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu Haoyang Li Shuning Wang Shuo Nie Shanghang Zhang OODD CML 61 0 0 29 Oct 2024
Causality-inspired Latent Feature Augmentation for Single Domain Generalization Jian Xu Chaojie Ji Yankai Cao Ye Li Ruxin Wang OOD 24 0 0 10 Jun 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu Hongyang Gao 37 3 0 21 May 2024
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks Jiahua Rao Jiancong Xie Hanjing Lin Shuangjia Zheng Zhen Wang Yuedong Yang 19 0 0 07 Feb 2024
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems Sicong Cao Xiaobing Sun Xiaoxue Wu David Lo Lili Bo Bin Li Wei Liu AAML 27 12 0 26 Jan 2024
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network Tong Li Jiale Deng Yanyan Shen Luyu Qiu Hu Yongxiang Caleb Chen Cao 23 5 0 23 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 36 2 0 19 Dec 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization Kha-Dinh Luong Mert Kosan A. Silva Ambuj K. Singh 32 6 0 25 May 2023
Unstructured and structured data: Can we have the best of both worlds with large language models? W. Tan 11 1 0 25 Apr 2023
Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability Indro Spinelli Michele Guerra F. Bianchi Simone Scardapane 30 0 0 14 Apr 2023
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions Tian Bian Yuli Jiang Jia Li Tingyang Xu Yu Rong Yi Su Timothy S. H. Kwok H. Meng Hongtao Cheng 19 2 0 04 Mar 2023
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI Juntao Tan Yongfeng Zhang 17 6 0 27 Jan 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis Kaizhong Zheng Shujian Yu Badong Chen CML 23 31 0 04 Jan 2023
GANExplainer: GAN-based Graph Neural Networks Explainer Yiqiao Li Jianlong Zhou Boyuan Zheng Fang Chen LLMAG 32 4 0 30 Dec 2022
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 31 7 0 28 Sep 2022
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment Zeyi Liu Zhenjia Xu Shuran Song 30 2 0 17 Jul 2022
Features Based Adaptive Augmentation for Graph Contrastive Learning Adnan Ali Jinlong Li OOD 24 7 0 05 Jul 2022
Towards Faithful and Consistent Explanations for Graph Neural Networks Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang FAtt 45 18 0 27 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 41 104 0 16 May 2022
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks Wanyu Lin Hao Lan Hao Wang Baochun Li BDL CML 25 50 0 29 Mar 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 38 25 0 16 Feb 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 14 196 0 31 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 31 38 0 19 Jan 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
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 39 81 0 20 Nov 2021
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods Chirag Agarwal Marinka Zitnik Himabindu Lakkaraju 19 51 0 16 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng-Long Jiang CML OOD 20 93 0 03 Jun 2021
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks Thorben Funke Megha Khosla Mandeep Rathee Avishek Anand FAtt 21 38 0 18 May 2021
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 20 20 0 07 Dec 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks Thomas Schnake Oliver Eberle Jonas Lederer Shinichi Nakajima Kristof T. Schütt Klaus-Robert Muller G. Montavon 18 215 0 05 Jun 2020