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GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation

9 February 2025

Papers citing "GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation"

50 / 69 papers shown

Title
When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty Yanzhe Wen Miao Hu Qi Zhang Zhu Lei Guang Zeng Rong-Hua Li Guoren Wang 118 0 0 20 May 2025
Graph Synthetic Out-of-Distribution Exposure with Large Language Models Haoyan Xu Zhengtao Yao Ziyi Wang Zhan Cheng Xiyang Hu Mengyuan Li Yue Zhao OODD 193 1 0 29 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 189 4 0 18 Apr 2025
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models Xu Shen Yili Wang Kaixiong Zhou Shirui Pan Xin Wang 80 8 0 24 Apr 2024
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models Iakovos Evdaimon Giannis Nikolentzos Michail Chatzianastasis Hadi Abdine Michalis Vazirgiannis DiffM 42 4 0 03 Mar 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 72 29 0 05 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 58 13 0 10 Jan 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks Puja Trivedi Mark Heimann Rushil Anirudh Danai Koutra Jayaraman J. Thiagarajan UQCV 75 5 0 07 Jan 2024
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources Haotian Zheng Qizhou Wang Zhen Fang Xiaobo Xia Feng Liu Tongliang Liu Bo Han 213 28 0 06 Nov 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park J. Mok Dahuin Jung Saehyung Lee Sung-Hoon Yoon 64 11 0 25 Oct 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation Jianing Zhu Geng Yu Jiangchao Yao Tongliang Liu Gang Niu Masashi Sugiyama Bo Han OODD 75 32 0 21 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 70 4 0 16 Oct 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 70 63 0 23 Sep 2023
Learning on Graphs with Out-of-Distribution Nodes Yunho Song Donglin Wang OODD 49 43 0 13 Aug 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 94 10 0 26 May 2023
A Survey on Out-of-Distribution Detection in NLP Hao Lang Yinhe Zheng Yixuan Li Jian Sun Feiling Huang Yongbin Li 72 25 0 05 May 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 88 33 0 27 Mar 2023
Non-Parametric Outlier Synthesis Leitian Tao Xuefeng Du Xiaojin Zhu Yixuan Li OODD 88 107 0 06 Mar 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu Yiting Chen Chenxiao Yang Junchi Yan OODD 88 67 0 06 Feb 2023
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang Tianlong Chen Meng Fang Vlado Menkovski Jiaxu Zhao ... Yulong Pei Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 78 14 0 28 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
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 213 165 0 20 Sep 2022
Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective Gleb Bazhenov Sergei Ivanov Maxim Panov Alexey Zaytsev Evgeny Burnaev UQCV 72 11 0 21 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 78 123 0 16 Jun 2022
Exploring Chemical Space with Score-based Out-of-distribution Generation Seul Lee Jaehyeong Jo Sung Ju Hwang OODD 96 80 0 06 Jun 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 115 39 0 30 May 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 70 61 0 11 Apr 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 110 101 0 16 Feb 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji Lu Zhang Jiaxiang Wu Bing Wu Long-Kai Huang ... Ping Luo Shuigeng Zhou Junzhou Huang Peilin Zhao Yatao Bian OOD 120 75 0 24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 485 15,734 0 20 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OODD OOD 70 104 0 07 Dec 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 113 485 0 24 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 103 89 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 291 936 0 21 Oct 2021
Can multi-label classification networks know what they don't know? Haoran Wang Weitang Liu Alex E. Bocchieri Yixuan Li OODD 141 127 0 29 Sep 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 87 187 0 27 May 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 91 114 0 30 Apr 2021
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection Xin Dong Junfeng Guo Ang Li W. Ting Cong Liu H. T. Kung OODD 87 59 0 23 Apr 2021
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings Benedek Rozemberczki Rik Sarkar 177 71 0 08 Jan 2021
Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang Bin Dai David Wipf Jun Zhu 67 40 0 25 Oct 2020
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 182 139 0 24 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,371 0 08 Oct 2020
A Benchmark of Medical Out of Distribution Detection Tianshi Cao Chinwei Huang D. Y. Hui Joseph Paul Cohen OOD 71 59 0 08 Jul 2020
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 60 139 0 26 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 689 18,310 0 19 Jun 2020
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features R. Schirrmeister Yuxuan Zhou T. Ball Dan Zhang UQCV 72 88 0 18 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 309 2,746 0 02 May 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 151 195 0 06 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 105 577 0 26 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 507 10,591 0 17 Feb 2020