Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection

13 March 2025

Papers citing "Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection"

31 / 31 papers shown

Title
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
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification He Zhu Junran Wu Ruomei Liu Yue Hou Ze Yuan Shangzhe Li Yicheng Pan Ke Xu 38 6 0 26 Mar 2024
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization Haonan Yuan Qingyun Sun Xingcheng Fu Ziwei Zhang Cheng Ji Hao Peng Jianxin Li OOD 89 22 0 18 Nov 2023
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification He Zhu Chong Zhang Junjie Huang Junran Wu Ke Xu 94 22 0 24 May 2023
Unifying Graph Contrastive Learning with Flexible Contextual Scopes Yizhen Zheng Yu Zheng Xiaofei Zhou Chen Gong V. Lee Shirui Pan 81 17 0 17 Oct 2022
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 69 76 0 26 Jun 2022
A Simple yet Effective Method for Graph Classification Junran Wu Shangzhe Li Jianhao Li Yicheng Pan Keyulu Xu 123 26 0 06 Jun 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng Shirui Pan Vincent C. S. Lee Yu Zheng Philip S. Yu 68 98 0 03 Jun 2022
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation Rongrong Ma Guansong Pang Ling-Hao Chen Anton Van Den Hengel 69 93 0 19 Dec 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data Zhi-Fan Wu Tong Wei Jianwen Jiang Chaojie Mao Mingqian Tang Yu-Feng Li 51 83 0 25 Aug 2021
Contrastive Out-of-Distribution Detection for Pretrained Transformers Wenxuan Zhou Fangyu Liu Muhao Chen 43 100 0 18 Apr 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 114 345 0 22 Mar 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Xiwei Xu Philip S. Yu SSL 107 571 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
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
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
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 229 960 0 17 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 139 1,630 0 15 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 232 1,305 0 10 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
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 381 18,866 0 13 Feb 2020
On Mutual Information Maximization for Representation Learning Michael Tschannen Josip Djolonga Paul Kishan Rubenstein Sylvain Gelly Mario Lucic SSL 179 501 0 31 Jul 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 111 814 0 16 May 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 257 7,695 0 01 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 130 2,396 0 27 Sep 2018
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,081 0 08 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 171 3,472 0 07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 662 29,156 0 09 Sep 2016
Propagation Kernels Marion Neumann Roman Garnett Christian Bauckhage Kristian Kersting 70 262 0 13 Oct 2014
Graph Kernels S.V.N. Vishwanathan Karsten Borgwardt I. Kondor N. Schraudolph 149 1,206 0 01 Jul 2008