Towards Self-Interpretable Graph-Level Anomaly Detection

25 October 2023

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

50 / 65 papers shown

Title
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps Jiawei Gu Ziyue Qiao Zechao Li 116 0 0 21 May 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment Shuo Wang Bokui Wang Zhixiang Shen Boyan Deng Zhao Kang 195 2 0 04 Feb 2025
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 117 11 0 21 Jun 2024
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 90 36 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 109 237 0 02 Oct 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 76 20 0 20 Sep 2023
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning Linhao Luo Jiaxin Ju Bo Xiong Yuan-Fang Li Gholamreza Haffari Shirui Pan LRM 88 30 0 04 Sep 2023
Unifying Large Language Models and Knowledge Graphs: A Roadmap Shirui Pan Linhao Luo Yufei Wang Chen Chen Jiapu Wang Xindong Wu KELM 124 784 0 14 Jun 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs Y. Zheng He Zhang V. Lee Yu Zheng Tianlin Li Shirui Pan 69 33 0 13 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 93 68 0 05 Jun 2023
Learning Strong Graph Neural Networks with Weak Information Yixin Liu Kaize Ding Jianling Wang V. Lee Huan Liu Shirui Pan 62 43 0 29 May 2023
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs Xin Zheng Miao Zhang C. Chen Qin Zhang Chuan Zhou Shirui Pan GNN 93 31 0 23 Feb 2023
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu Yizhen Zheng Daokun Zhang V. Lee Shirui Pan 44 75 0 25 Nov 2022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing Yue Tan Yixin Liu Guodong Long Jing Jiang Qinghua Lu Chengqi Zhang FedML 104 139 0 23 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection Yixin Liu Kaize Ding Huan Liu Shirui Pan 77 59 0 08 Nov 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan Guodong Long Jie Ma Lu Liu Tianyi Zhou Jing Jiang FedML 90 178 0 21 Sep 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Changhao Nai Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 72 95 0 16 Jun 2022
Raising the Bar in Graph-level Anomaly Detection Chen Qiu Marius Kloft Stephan Mandt Maja R. Rudolph 63 63 0 27 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 119 108 0 16 May 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Lizhen Qu Chuan Zhou Shirui Pan AAML 69 24 0 25 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 82 231 0 16 Feb 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 83 226 0 14 Feb 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 89 212 0 31 Jan 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 159 234 0 30 Jan 2022
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation Rongrong Ma Guansong Pang Ling-Hao Chen Anton Van Den Hengel 64 93 0 19 Dec 2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 65 55 0 18 Dec 2021
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Hongzhi Zhang Xingcheng Fu Cheng Ji Philip S. Yu 77 162 0 16 Dec 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 61 200 0 28 Oct 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 104 89 0 26 Aug 2021
Edge Representation Learning with Hypergraphs Jaehyeong Jo Jinheon Baek Seul Lee Dongki Kim Minki Kang Sung Ju Hwang 62 64 0 30 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Hongzhi Zhang Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 82 559 0 14 Jun 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning Susheel Suresh Pan Li Cong Hao Jennifer Neville AAML 69 343 0 10 Jun 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 123 305 0 27 Feb 2021
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights Lingxiao Zhao Leman Akoglu 83 67 0 23 Dec 2020
Parameterized Explainer for Graph Neural Network Dongsheng Luo Wei Cheng Dongkuan Xu Wenchao Yu Bo Zong Haifeng Chen Xiang Zhang 140 561 0 09 Nov 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 84 1,112 0 27 Oct 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 146 237 0 24 Oct 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks Minh Nhat Vu My T. Thai BDL 75 337 0 12 Oct 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 47 157 0 12 Oct 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 239 827 0 16 Jul 2020
Explainable Deep One-Class Classification Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Marius Kloft Klaus-Robert Muller 59 199 0 03 Jul 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 232 1,305 0 10 Jun 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 102 222 0 05 Jun 2020
Learning Robust Representations via Multi-View Information Bottleneck Marco Federici Anjan Dutta Patrick Forré Nate Kushman Zeynep Akata SLR 58 258 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,866 0 13 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 538 42,591 0 03 Dec 2019
Understanding Attention and Generalization in Graph Neural Networks Boris Knyazev Graham W. Taylor Mohamed R. Amer GNN 155 342 0 08 May 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 150 1,329 0 10 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 237 4,364 0 06 Mar 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 93 626 0 23 Jan 2019