Title
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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 97 9 0 21 Jun 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 163 1 0 20 May 2024
A Survey of Data-Efficient Graph Learning Wei Ju Siyu Yi Yifan Wang Qingqing Long Junyu Luo Zhiping Xiao Ming Zhang GNN 78 29 0 01 Feb 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling Wei Ju Yiyang Gu Zhengyan Mao Ziyue Qiao Yifang Qin Xiao Luo Hui Xiong Ming Zhang SSL 64 9 0 29 Jan 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 50 11 0 10 Jan 2024
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 58 9 0 13 Dec 2023
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise Yao Cheng Caihua Shan Yifei Shen Xiang Li Siqiang Luo Dongsheng Li 49 6 0 25 Oct 2023
Towards Self-Interpretable Graph-Level Anomaly Detection Yixin Liu Kaize Ding Qinghua Lu Fuyi Li Leo Yu Zhang Shirui Pan 70 51 0 25 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 54 4 0 16 Oct 2023
Towards out-of-distribution generalizable predictions of chemical kinetics properties Zihao Wang Yongqiang Chen Yang Duan Weijiang Li Bo Han James Cheng Hanghang Tong OOD 48 6 0 04 Oct 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels Jingyang Yuan Xiao Luo Yifang Qin Zhengyan Mao Wei Ju Ming Zhang AAML 52 18 0 26 Sep 2023
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering Si-Yu Yi Wei Ju Yifang Qin Xiao Luo Luchen Liu Yong-Dao Zhou Ming Zhang 87 24 0 09 Sep 2023
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts Si-Yu Yi Zhengyan Mao Wei Ju Yong-Dao Zhou Luchen Liu Xiao Luo Ming Zhang 53 7 0 31 Aug 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu Wang Olivera Kotevska Philip S. Yu Hanyu Wang 44 12 0 31 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes Yunho Song Donglin Wang OODD 36 41 0 13 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification Zhengyan Mao Wei Ju Yifang Qin Xiao Luo Ming Zhang 72 16 0 04 Aug 2023
Learning on Graphs under Label Noise Jingyang Yuan Xiao Luo Yifang Qin Yusheng Zhao Wei Ju Ming Zhang NoLa 49 20 0 14 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization Shurui Gui Meng Liu Xiner Li Youzhi Luo Shuiwang Ji CML OOD 53 24 0 01 Jun 2023
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? Iyiola E. Olatunji Anmar Hizber Oliver Sihlovec Megha Khosla AAML 64 7 0 01 Jun 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 66 31 0 31 May 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks Yuwen Li Miao Xiong Bryan Hooi 48 7 0 30 May 2023
TGNN: A Joint Semi-supervised Framework for Graph-level Classification Wei Ju Xiao Luo Meng Qu Yifan Wang C. L. Philip Chen Minghua Deng Xiansheng Hua Ming Zhang 43 34 0 23 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 89 148 0 11 Apr 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 48 29 0 27 Mar 2023
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks Xin Gao Wentao Zhang Tong Chen Junliang Yu Hung Quoc Viet Nguyen Hongzhi Yin 62 11 0 27 Feb 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu Yiting Chen Chenxiao Yang Junchi Yan OODD 77 61 0 06 Feb 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data Jang-Hyun Kim Sangdoo Yun Hyun Oh Song 50 19 0 29 Jan 2023
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks Yihan Wu Aleksandar Bojchevski Heng Huang AAML 70 30 0 09 Dec 2022
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View Jingcan Duan Siwei Wang Pei Zhang En Zhu Jingtao Hu Huan Jin Yue Liu Zhibin Dong 46 84 0 01 Dec 2022
Robust Training of Graph Neural Networks via Noise Governance Siyi Qian Haochao Ying Renjun Hu Jingbo Zhou Jintai Chen Danny Chen Jian Wu NoLa 87 34 0 12 Nov 2022
GLCC: A General Framework for Graph-Level Clustering Wei Ju Yiyang Gu Binqi Chen Gongbo Sun Yifang Qin Xing Liu Xiao Luo Ming Zhang 60 41 0 21 Oct 2022
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang 43 27 0 17 Sep 2022
Model Inversion Attacks against Graph Neural Networks Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 55 36 0 16 Sep 2022
LTE4G: Long-Tail Experts for Graph Neural Networks Sukwon Yun Kibum Kim Kanghoon Yoon Chanyoung Park 86 41 0 22 Aug 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification Jae-gyun Song Joonhyung Park Eunho Yang 59 54 0 26 Jun 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 102 39 0 30 May 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 67 19 0 05 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 110 73 0 24 Jan 2022
Causal Attention for Interpretable and Generalizable Graph Classification Yongduo Sui Xiang Wang Jiancan Wu Min Lin Xiangnan He Tat-Seng Chua CML OOD 51 154 0 30 Dec 2021
A Comparative Study on Robust Graph Neural Networks to Structural Noises Zeyu Zhang Yulong Pei NoLa AAML 27 4 0 11 Dec 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 110 82 0 20 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 75 83 0 26 Oct 2021
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis Fan Wu Yunhui Long Ce Zhang Yue Liu AAML 58 96 0 14 Aug 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs Enyan Dai Charu C. Aggarwal Suhang Wang NoLa 48 114 0 08 Jun 2021
Federated Graph Learning -- A Position Paper Hu Zhang Tao Shen Leilei Gan Mingyang Yin Hongxia Yang Chao Wu FedML 65 52 0 24 May 2021
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 96 327 0 16 Mar 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 78 165 0 09 Feb 2021