Parameterized Explainer for Graph Neural Network

9 November 2020

Dongkuan Xu

Papers citing "Parameterized Explainer for Graph Neural Network"

50 / 288 papers shown

Title
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 41 0 0 06 May 2025
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets W. Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang H. Wang Ruixuan Li 105 1 0 04 May 2025
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation J. Qu Wenhan Gao Jiaxing Zhang Xufeng Liu Hua Wei Haibin Ling Y. Liu AI4CE 50 0 0 04 May 2025
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks Jie Yang Yuwen Wang Kaixuan Chen Tongya Zheng Yihe Zhou Zhenbang Xiao Ji Cao Mingli Song S. Liu AI4CE 42 1 0 01 May 2025
Dual Explanations via Subgraph Matching for Malware Detection Hossein Shokouhinejad Roozbeh Razavi-Far Griffin Higgins Ali Ghorbani AAML 36 0 0 29 Apr 2025
Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification Nikolaos Chaidos Angeliki Dimitriou Nikolaos Spanos Athanasios Voulodimos Giorgos Stamou 35 1 0 28 Apr 2025
On the Consistency of GNN Explanations for Malware Detection Hossein Shokouhinejad Griffin Higgins Roozbeh Razavi-Far Hesamodin Mohammadian Ali Ghorbani 17 1 0 22 Apr 2025
TreeX: Generating Global Graphical GNN Explanations via Critical Subtree Extraction Shengyao Lu Jiuding Yang Baochun Li Di Niu 48 0 0 12 Mar 2025
Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics Herman Chau Helen Jenne Davis Brown Jesse He Mark Raugas Sara Billey Henry Kvinge 38 0 0 09 Mar 2025
Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization W. Liu Zhiying Deng Zhongyu Niu Jun Wang Haozhao Wang Zhigang Zeng Ruixuan Li 42 2 0 08 Mar 2025
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers Xuexin Chen Ruichu Cai Zhengting Huang Zijian Li Jie Zheng Min Wu 41 0 0 08 Mar 2025
STX-Search: Explanation Search for Continuous Dynamic Spatio-Temporal Models Saif Anwar Nathan Griffiths T. Popham A. Bhalerao AI4TS LRM 67 0 0 06 Mar 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu Zihan Chen Yinhan He Song Wang Binchi Zhang Chen Chen Jundong Li OOD FedML 61 1 0 24 Feb 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
DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment Yusif Ibrahimov Tarique Anwar Tommy Yuan 44 0 0 28 Jan 2025
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization Song Wang Xiaodong Yang Rashidul Islam Huiyuan Chen Minghua Xu Jundong Li Yiwei Cai OODD 52 2 0 07 Jan 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
Causal-aware Graph Neural Architecture Search under Distribution Shifts Peiwen Li Xin Wang Zeyang Zhang Yi Qin Ziwei Zhang Jialong Wang Yang Li Wenwu Zhu CML OOD 60 4 0 31 Dec 2024
BrainMAP: Learning Multiple Activation Pathways in Brain Networks Song Wang Zhenyu Lei Zhen Tan Jiaqi Ding Xinyu Zhao ... Guorong Wu Tianlong Chen Chen Chen Aiying Zhang Jundong Li 53 0 0 23 Dec 2024
The GECo algorithm for Graph Neural Networks Explanation Salvatore Calderaro Domenico Amato Giosuè Lo Bosco R. Rizzo Filippo Vella 67 0 0 18 Nov 2024
Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes Jesse He Helen Jenne Herman Chau Davis Brown Mark Raugas Sara Billey Henry Kvinge 21 3 0 12 Nov 2024
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings Ashkan Golgoon Ryan Franks Khashayar Filom Arjun Ravi Kannan 31 0 0 01 Nov 2024
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu Haoyang Li Shuning Wang Shuo Nie Shanghang Zhang OODD CML 58 0 0 29 Oct 2024
FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning Wei Chen Meng Yuan Zhao Zhang Ruobing Xie Fuzhen Zhuang Deqing Wang Rui Liu 16 0 0 23 Oct 2024
TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph Learning Models Bo Pan Zhen Xiong Guanchen Wu Zheng Zhang Yifei Zhang Liang Zhao FAtt 31 1 0 20 Oct 2024
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks Hao Sui Bing Chen J. Zhang Chengcheng Zhu Di Wu Qinghua Lu Guodong Long AAML 24 1 0 18 Oct 2024
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning Zhuomin Chen Jingchao Ni Hojat Allah Salehi Xu Zheng Esteban Schafir Farhad Shirani Dongsheng Luo 24 0 0 16 Oct 2024
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts Shiye Su Iulia Duta Lucie Charlotte Magister Pietro Lio' FAtt 29 0 0 10 Oct 2024
Faithful Interpretation for Graph Neural Networks Lijie Hu Tianhao Huang Lu Yu Wanyu Lin Tianhang Zheng Di Wang 26 1 0 09 Oct 2024
Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization Wei Liu Zhiying Deng Zhongyu Niu Jun Wang Haozhao Wang YuanKai Zhang Ruixuan Li 40 4 0 08 Oct 2024
StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model Yuan Jiang Yujian Zhang Xiaohong Su Christoph Treude Tiantian Wang 45 0 0 08 Oct 2024
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Xu Zheng Farhad Shirani Zhuomin Chen Chaohao Lin Wei Cheng Wenbo Guo Dongsheng Luo AAML 28 0 0 03 Oct 2024
"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning Jiale Zhang Chengcheng Zhu Bosen Rao Hao Sui Xiaobing Sun Bing Chen Chunyi Zhou Shouling Ji AAML 30 0 0 02 Oct 2024
GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method Ali Royat Seyed Mohamad Moghadas Lesley De Cruz Adrian Munteanu 21 0 0 17 Sep 2024
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs Siqing Li Jin-Duk Park Wei Huang Xin Cao Won-Yong Shin Zhiqiang Xu 30 0 0 10 Sep 2024
MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs Zhixiang Cheng Hongxin Xiang Pengsen Ma Li Zeng Xin Jin ... Yang Deng Bosheng Song Xinxin Feng Changhui Deng Xiangxiang Zeng 24 0 0 02 Sep 2024
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features Thomas Schnake Farnoush Rezaei Jafaria Jonas Lederer Ping Xiong Shinichi Nakajima Stefan Gugler G. Montavon Klaus-Robert Müller 34 3 0 30 Aug 2024
Towards Few-shot Self-explaining Graph Neural Networks Jingyu Peng Qi Liu Linan Yue Zaixi Zhang Kai Zhang Yunhao Sha MILM 19 2 0 14 Aug 2024
xAI-Drop: Don't Use What You Cannot Explain Vincenzo Marco De Luca Antonio Longa Andrea Passerini Pietro Lio' 40 0 0 29 Jul 2024
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation Jiaxing Zhang Jiayi Liu Dongsheng Luo Jennifer Neville Hua Wei 26 2 0 22 Jul 2024
Graph Dimension Attention Networks for Enterprise Credit Assessment Shaopeng Wei Béni Egressy Xingyan Chen Yu Zhao Fuzhen Zhuang Roger Wattenhofer Gang Kou 32 0 0 16 Jul 2024
Graph Neural Network Causal Explanation via Neural Causal Models Arman Behnam Binghui Wang CML 40 3 0 12 Jul 2024
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks Yuwen Wang Shunyu Liu Tongya Zheng Kaixuan Chen Mingli Song AI4CE 35 5 0 02 Jul 2024
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning Bowen Zhang Zhichao Huang Genan Dai Guangning Xu Xiaomao Fan Hu Huang 36 0 0 02 Jul 2024
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning Jiajun Zhu Siqi Miao Rex Ying Pan Li 38 1 0 30 Jun 2024
REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability Shuang Ao Simon Khan Haris Aziz Flora D. Salim 32 0 0 20 Jun 2024
Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck Sangwoo Seo Sungwon Kim Jihyeong Jung Yoonho Lee Chanyoung Park 29 4 0 19 Jun 2024
On GNN explanability with activation rules Luca Veyrin-Forrer Ataollah Kamal Stefan Duffner Marc Plantevit C. Robardet AI4CE 21 2 0 17 Jun 2024
On the Feasibility of Fidelity $^-$ for Graph Pruning Yong-Min Shin Won-Yong Shin 23 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 47 5 0 17 Jun 2024