v1v2v3 (latest)

Structural Alignment Improves Graph Test-Time Adaptation

25 February 2025

Author Contacts:

hans.hsu@tum.de shikun.liu@gatech.edu hanzhao@illinois.edu panli@gatech.edu

OOD

TTA

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Papers citing "Structural Alignment Improves Graph Test-Time Adaptation"

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Title
Test-time Adaptation for Regression by Subspace Alignment Kazuki Adachi Shin'ya Yamaguchi Atsutoshi Kumagai Tomoki Hamagami TTA 109 2 0 04 Oct 2024
Test-Time Model Adaptation with Only Forward Passes Shuaicheng Niu Chunyan Miao Guohao Chen Pengcheng Wu Peilin Zhao TTA 96 25 0 02 Apr 2024
Pairwise Alignment Improves Graph Domain Adaptation Shikun Liu Deyu Zou Han Zhao Pan Li OOD 98 9 0 02 Mar 2024
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics Siqi Miao Zhiyuan Lu Mia Liu Javier Duarte Pan Li 89 6 0 19 Feb 2024
ClusT3: Information Invariant Test-Time Training G. A. V. Hakim David Osowiechi Mehrdad Noori Milad Cheraghalikhani Ismail Ben Ayed Christian Desrosiers TTA OOD 62 12 0 18 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 70 16 0 01 Oct 2023
Explaining and Adapting Graph Conditional Shift Qi Zhu Yizhu Jiao Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 49 10 0 05 Jun 2023
Structural Re-weighting Improves Graph Domain Adaptation Shikun Liu Tianchun Li Yongbin Feng Nhan Tran Haiying Zhao Qiu Qiang Pan Li OOD AI4CE 56 39 0 05 Jun 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 101 236 0 27 Mar 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World Shuaicheng Niu Jiaxiang Wu Yifan Zhang Z. Wen Yaofo Chen P. Zhao Mingkui Tan TTA 85 272 0 24 Feb 2023
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation Hyesu Lim Byeonggeun Kim Jaegul Choo Sungha Choi TTA 64 89 0 10 Feb 2023
DELTA: degradation-free fully test-time adaptation Bowen Zhao Chen Chen Shutao Xia TTA 149 60 0 30 Jan 2023
ActMAD: Activation Matching to Align Distributions for Test-Time-Training M. Jehanzeb Mirza Pol Jané Soneira W. Lin Mateusz Koziñski Horst Possegger Horst Bischof VLM TTA 98 29 0 23 Nov 2022
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning Ziyi Zhang Weikai Chen Hui Cheng Zerui Li Siyuan Li Liang Lin Guanbin Li 45 67 0 12 Nov 2022
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs Hans Hao-Hsun Hsu Yuesong Shen Daniel Cremers 71 7 0 27 Oct 2022
Test-Time Training for Graph Neural Networks Yiqi Wang Chaozhuo Li Wei Jin Rui Li Jianan Zhao Jiliang Tang Xing Xie OOD 85 15 0 17 Oct 2022
What Makes Graph Neural Networks Miscalibrated? Hans Hao-Hsun Hsu Yuesong Shen Christian Tomani Daniel Cremers 77 40 0 12 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 135 64 0 07 Oct 2022
GraphTTA: Test Time Adaptation on Graph Neural Networks Guan-Wun Chen Jiying Zhang Xi Xiao Yongqian Li OOD 64 11 0 19 Aug 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation Taesik Gong Jongheon Jeong Taewon Kim Yewon Kim Jinwoo Shin Sung-Ju Lee OOD TTA 82 130 0 10 Aug 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information M-U Jang Sae-Young Chung Hye Won Chung OOD TTA 92 62 0 08 Jul 2022
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment Takeshi Kojima Yutaka Matsuo Yusuke Iwasawa 85 28 0 28 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 76 121 0 16 Jun 2022
Parameter-free Online Test-time Adaptation Malik Boudiaf Romain Mueller Ismail Ben Ayed Luca Bertinetto TTA 60 150 0 15 Jan 2022
Source Free Unsupervised Graph Domain Adaptation Haitao Mao Lun Du Yujia Zheng Qiang Fu Zelin Li Xu Chen Shi Han Dongmei Zhang 53 7 0 02 Dec 2021
A Review on Graph Neural Network Methods in Financial Applications Jianian Wang Shenmin Zhang Yanghua Xiao Rui Song AI4TS 68 109 0 27 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 98 87 0 26 Oct 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 65 111 0 02 Aug 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration Cian Eastwood I. Mason Christopher K. I. Williams Bernhard Schölkopf TTA 68 51 0 12 Jul 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption Alexander Bartler Andreas Bühler Felix Wiewel Mario Döbler Binh Yang TTA OOD 70 82 0 30 Mar 2021
Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data Jillian M. Clements Di Xu N. Yousefi Dmitry Efimov 94 42 0 30 Dec 2020
Information Obfuscation of Graph Neural Networks Peiyuan Liao Han Zhao Keyulu Xu Tommi Jaakkola Geoffrey J. Gordon Stefanie Jegelka Ruslan Salakhutdinov AAML 86 35 0 28 Sep 2020
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters Yingtong Dou Zhiwei Liu Li Sun Yutong Deng Hao Peng Philip S. Yu AAML 106 472 0 19 Aug 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 269 738 0 14 Jun 2020
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs Yuke Wang Boyuan Feng Gushu Li Shuangchen Li Lei Deng Yuan Xie Yufei Ding GNN 89 123 0 11 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 306 2,732 0 02 May 2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift Rémi Tachet des Combes Han Zhao Yu Wang Geoffrey J. Gordon OOD AAML VLM 68 188 0 10 Mar 2020
A Semi-supervised Graph Attentive Network for Financial Fraud Detection Daixin Wang J. Lin Peng Cui Quanhui Jia Zhen Wang Yanming Fang Quan Yu Jun Zhou Shuang Yang Yuan Qi GNN 81 357 0 28 Feb 2020
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 110 1,339 0 25 Jul 2019
Regularized Learning for Domain Adaptation under Label Shifts Kamyar Azizzadenesheli Anqi Liu Fanny Yang Anima Anandkumar 41 206 0 22 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 226 4,341 0 06 Mar 2019
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 77 228 0 27 Nov 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 130 2,386 0 27 Sep 2018
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 154 158 0 23 Jul 2018
Detecting and Correcting for Label Shift with Black Box Predictors Zachary Chase Lipton Yu Wang Alex Smola OOD 66 554 0 12 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,164 0 30 Oct 2017
Pileup Mitigation with Machine Learning (PUMML) Patrick T. Komiske E. Metodiev Benjamin Nachman M. Schwartz 48 99 0 26 Jul 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 509 15,247 0 07 Jun 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 808 3,287 0 24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 641 29,076 0 09 Sep 2016