Parameterized Explainer for Graph Neural Network

9 November 2020

Dongkuan Xu

Papers citing "Parameterized Explainer for Graph Neural Network"

50 / 290 papers shown

Title
On the Feasibility of Fidelity $^-$ for Graph Pruning Yong-Min Shin Won-Yong Shin 36 0 0 17 Jun 2024
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning Kaidi Li Tianmeng Yang Min Zhou Jiahao Meng Shendi Wang ... Hu Song Lujia Pan Fan Yu Zhenli Sheng Yunhai Tong AAML 58 5 0 17 Jun 2024
How Interpretable Are Interpretable Graph Neural Networks? Yongqiang Chen Yatao Bian Bo Han James Cheng 49 4 0 12 Jun 2024
Explainable Graph Neural Networks Under Fire Zhong Li Simon Geisler Yuhang Wang Stephan Günnemann M. Leeuwen AAML 43 0 0 10 Jun 2024
Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook Yusif Ibrahimov Tarique Anwar Tommy Yuan 39 3 0 10 Jun 2024
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning Zheng Huang Qihui Yang Dawei Zhou Yujun Yan AI4CE 36 3 0 07 Jun 2024
GNNAnatomy: Systematic Generation and Evaluation of Multi-Level Explanations for Graph Neural Networks Hsiao-Ying Lu Yiran Li Ujwal Pratap Krishna Kaluvakolanu Thyagarajan Kwan-Liu Ma 43 1 0 06 Jun 2024
The Intelligible and Effective Graph Neural Additive Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 42 5 0 03 Jun 2024
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs Lanting Fang Yulian Yang Kai Wang Shanshan Feng Kaiyu Feng Jie Gui Shuliang Wang Y. Ong 37 1 0 29 May 2024
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models Zhenzhong Wang Zehui Lin Wanyu Lin Ming Yang Minggang Zeng Kay Chen Tan 28 3 0 25 May 2024
Explaining Graph Neural Networks via Structure-aware Interaction Index Ngoc H. Bui Hieu Trung Nguyen Viet Anh Nguyen Rex Ying FAtt 43 4 0 23 May 2024
Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks Dominik Köhler Stefan Heindorf 30 0 0 21 May 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu Hongyang Gao 47 3 0 21 May 2024
TimeX++: Learning Time-Series Explanations with Information Bottleneck Zichuan Liu Tianchun Wang Jimeng Shi Xu Zheng Zhuomin Chen Lei Song Wenqian Dong J. Obeysekera Farhad Shirani Dongsheng Luo AI4TS 37 8 0 15 May 2024
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records Jiayuan Chen Changchang Yin Yuanlong Wang Ping Zhang 37 3 0 07 May 2024
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time Shengyao Lu Bang Liu Keith G. Mills Jiao He Di Niu 46 3 0 02 May 2024
Generating Robust Counterfactual Witnesses for Graph Neural Networks Dazhuo Qiu Mengying Wang Arijit Khan Yinghui Wu 40 3 0 30 Apr 2024
Graph Machine Learning in the Era of Large Language Models (LLMs) Wenqi Fan Shijie Wang Jiani Huang Zhikai Chen Yu Song ... Haitao Mao Hui Liu Xiaorui Liu Dawei Yin Qing Li AI4CE 33 23 0 23 Apr 2024
Improving the interpretability of GNN predictions through conformal-based graph sparsification Pablo Sánchez-Martín Kinaan Aamir Khan Isabel Valera 29 3 0 18 Apr 2024
Comprehensible Artificial Intelligence on Knowledge Graphs: A survey Simon Schramm C. Wehner Ute Schmid 33 25 0 04 Apr 2024
GreeDy and CoDy: Counterfactual Explainers for Dynamic Graphs Zhan Qu Daniel Gomm Michael Färber CML FAtt 39 1 0 25 Mar 2024
MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs Lilas Alrahis Hassan Nassar Jonas Krautter Dennis R. E. Gnad Lars Bauer Jörg Henkel M. Tahoori 29 2 0 04 Mar 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning Theodore Papamarkou Tolga Birdal Michael M. Bronstein Gunnar Carlsson Justin Curry ... Petar Velickovic Bei Wang Yusu Wang Guo-Wei Wei Ghada Zamzmi AI4CE 62 26 0 14 Feb 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation Xuexin Chen Ruichu Cai Zhengting Huang Yuxuan Zhu Julien Horwood Zhifeng Hao Zijian Li Jose Miguel Hernandez-Lobato AAML 38 2 0 13 Feb 2024
PAC Learnability under Explanation-Preserving Graph Perturbations Xu Zheng Farhad Shirani Tianchun Wang Shouwei Gao Wenqian Dong Wei Cheng Dongsheng Luo 24 0 0 07 Feb 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 23 0 0 07 Feb 2024
LIPSTICK: Corruptibility-Aware and Explainable Graph Neural Network-based Oracle-Less Attack on Logic Locking Yeganeh Aghamohammadi Amin Rezaei AAML 19 3 0 06 Feb 2024
MolTC: Towards Molecular Relational Modeling In Language Models Junfeng Fang Shuai Zhang Chang Wu Zhengyi Yang Zhiyuan Liu Sihang Li Kun Wang Wenjie Du Xiang Wang 34 19 0 06 Feb 2024
PowerGraph: A power grid benchmark dataset for graph neural networks Anna Varbella Kenza Amara B. Gjorgiev Mennatallah El-Assady G. Sansavini 23 8 0 05 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Junfeng Fang Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 53 19 0 05 Feb 2024
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks Zhuomin Chen Jiaxing Zhang Jingchao Ni Xiaoting Li Yuchen Bian Md. Mezbahul Islam A. Mondal Hua Wei Dongsheng Luo 18 2 0 03 Feb 2024
X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System Kıymet Kaya Elif Ak Sumeyye Bas B. Canberk Ş. Öğüdücü AAML 36 1 0 01 Feb 2024
GOAt: Explaining Graph Neural Networks via Graph Output Attribution Shengyao Lu Keith G. Mills Jiao He Bang Liu Di Niu FAtt 42 8 0 26 Jan 2024
SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation Ming-Yi Hong Yi-Hsiang Huang Shao-En Lin You-Chen Teng Chih-Yu Wang Che Lin 47 0 0 07 Jan 2024
Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors Baijun Cheng Shengming Zhao Kailong Wang Meizhen Wang Guangdong Bai Ruitao Feng Yao Guo Lei Ma Haoyu Wang FAtt AAML 34 7 0 05 Jan 2024
View-based Explanations for Graph Neural Networks Tingyang Chen Dazhuo Qiu Yinghui Wu Arijit Khan Xiangyu Ke Yunjun Gao 41 9 0 04 Jan 2024
On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions Razieh Rezaei Alireza Dizaji Ashkan Khakzar Anees Kazi Nassir Navab Daniel Rueckert 29 0 0 01 Jan 2024
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation Dibaloke Chanda Saba Heidari Gheshlaghi Nasim Yahya Soltani AAML 17 0 0 28 Dec 2023
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network Tong Li Jiale Deng Yanyan Shen Luyu Qiu Hu Yongxiang Caleb Chen Cao 25 5 0 23 Dec 2023
Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph Tianqianjin Lin Kaisong Song Zhuoren Jiang Yangyang Kang Weikang Yuan Xurui Li Changlong Sun Cui Huang Xiaozhong Liu 38 6 0 10 Dec 2023
Factorized Explainer for Graph Neural Networks Rundong Huang Farhad Shirani Dongsheng Luo 50 8 0 09 Dec 2023
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks Haoyu Li Shichang Zhang Longwen Tang Mathieu Bauchy Yizhou Sun AI4CE 48 1 0 08 Dec 2023
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization Wei Liu Yining Qi Jun Wang Zhiying Deng Yuankai Zhang Chengwei Wang Ruixuan Li 38 9 0 07 Dec 2023
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts Jonas Jürß Lucie Charlotte Magister Pietro Barbiero Pietro Lió Nikola Simidjievski 44 1 0 25 Nov 2023
Exploring Causal Learning through Graph Neural Networks: An In-depth Review Simi Job Xiaohui Tao Taotao Cai Haoran Xie Lin Li Jianming Yong Qing Li CML AI4CE 38 5 0 25 Nov 2023
AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference Yuan Lu Haitz Sáez de Ocáriz Borde Pietro Lio 25 2 0 20 Nov 2023
Evaluating Neighbor Explainability for Graph Neural Networks Oscar Llorente Rana Fawzy Jared Keown Michal Horemuz Péter Vaderna Sándor Laki Roland Kotroczó Rita Csoma János Márk Szalai-Gindl 16 0 0 14 Nov 2023
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 14 5 0 10 Nov 2023
Generative Explanations for Graph Neural Network: Methods and Evaluations Jialin Chen Kenza Amara Junchi Yu Rex Ying 42 4 0 09 Nov 2023
Interpretable Prototype-based Graph Information Bottleneck Sangwoo Seo Sungwon Kim Chanyoung Park 13 12 0 30 Oct 2023