Towards Self-Interpretable Graph-Level Anomaly Detection

25 October 2023

Papers citing "Towards Self-Interpretable Graph-Level Anomaly Detection"

34 / 34 papers shown

Title
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 39 0 0 01 May 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment Shuo Wang Bokui Wang Zhixiang Shen Boyan Deng Zhao Kang 90 1 0 04 Feb 2025
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling Hu Cui Renjing Huang Ruoyu Zhang Tessai Hayama 47 0 0 21 Jan 2025
UniGAD: Unifying Multi-level Graph Anomaly Detection Yiqing Lin Jianheng Tang Chenyi Zi Haihong Zhao Yuan Yao Jia Li 24 0 0 10 Nov 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy Sunwoo Kim Soo Yong Lee Fanchen Bu Shinhwan Kang Kyungho Kim Jaemin Yoo Kijung Shin 16 0 0 27 Oct 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning Zhixiang Shen Shuo Wang Zhao Kang 18 2 0 25 Sep 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Hanghang Tong Bo An Irwin King Charu Aggarwal Guansong Pang 27 5 0 16 Sep 2024
Graph Dimension Attention Networks for Enterprise Credit Assessment Shaopeng Wei Béni Egressy Xingyan Chen Yu Zhao Fuzhen Zhuang Roger Wattenhofer Gang Kou 16 0 0 16 Jul 2024
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning Zitong Wang Xuexiong Luo Enfeng Song Qiuqing Bai Fu Lin 26 0 0 13 Jul 2024
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning Zhu Wang Shuang Zhou Junnan Dong Chang Yang Xiao Huang Shengjie Zhao 26 1 0 08 Jul 2024
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection Yali Fu Jindong Li Jiahong Liu Qianli Xing Qi Wang Irwin King 29 0 0 02 Jul 2024
FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection Rui Cao Shijie Xue Jindong Li Qi Wang Yi Chang 17 0 0 29 Jun 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang Yixin Liu Xu Shen Chenyu Li Kaize Ding Rui Miao Ying Wang Shirui Pan Xin Wang 29 6 0 21 Jun 2024
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection Fan Xu Nan Wang Hao Wu Xuezhi Wen Dalin Zhang Siyang Lu Binyong Li Wei Gong Hai Wan Xibin Zhao 28 0 0 02 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 21 1 0 29 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu Shiyuan Li Yu Zheng Qingfeng Chen Chengqi Zhang Shirui Pan 32 9 0 27 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond Wei Ju Yifan Wang Yifang Qin Zhengyan Mao Zhiping Xiao ... Dongjie Wang Qingqing Long Siyu Yi Xiao Luo Ming Zhang 34 12 0 20 May 2024
Online GNN Evaluation Under Test-time Graph Distribution Shifts Xin-Yang Zheng Dongjin Song Qingsong Wen Bo Du Shirui Pan 23 1 0 15 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 34 36 0 07 Mar 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning Man Wu Xin-Yang Zheng Qin Zhang Xiao Shen Xiong Luo Xingquan Zhu Shirui Pan OOD 62 6 0 26 Feb 2024
Generative Semi-supervised Graph Anomaly Detection Hezhe Qiao Qingsong Wen Xiaoli Li Ee-Peng Lim Guansong Pang 27 7 0 19 Feb 2024
GOODAT: Towards Test-time Graph Out-of-Distribution Detection Luzhi Wang Dongxiao He He Zhang Yixin Liu Wenjie Wang Shirui Pan Di Jin Tat-Seng Chua OODD OOD 15 10 0 10 Jan 2024
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 8 5 0 10 Nov 2023
Large Language Models for Scientific Synthesis, Inference and Explanation Yizhen Zheng Huan Yee Koh Jiaxin Ju A. T. Nguyen Lauren T. May Geoffrey I. Webb Shirui Pan ELM 34 30 0 12 Oct 2023
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning Linhao Luo Yuan-Fang Li Gholamreza Haffari Shirui Pan RALM LRM 31 178 0 02 Oct 2023
Coupled-Space Attacks against Random-Walk-based Anomaly Detection Y. Lai Marcin Waniek Liying Li Jing-Zheng Wu Yulin Zhu Tomasz P. Michalak Talal Rahwan Kai Zhou AAML 17 0 0 26 Jul 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks He Zhang Xingliang Yuan Shirui Pan 18 11 0 30 Jan 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 36 98 0 16 May 2022
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 8 213 0 14 Feb 2022
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach Yu Zheng Ming Jin Yixin Liu Lianhua Chi Khoa T. Phan Shirui Pan Yi-Ping Phoebe Chen 8 13 0 11 Feb 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 89 170 0 30 Jan 2022
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 159 463 0 31 Dec 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 222 0 24 Oct 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 228 2,231 0 24 Jun 2017