Robust Training of Graph Neural Networks via Noise Governance

Robust Training of Graph Neural Networks via Noise Governance

12 November 2022

Jintai Chen

Papers citing "Robust Training of Graph Neural Networks via Noise Governance"

19 / 19 papers shown

Title
Training Robust Graph Neural Networks by Modeling Noise Dependencies Yeonjun In Kanghoon Yoon Sukwon Yun Kibum Kim Sungchul Kim Chanyoung Park OOD NoLa 76 0 0 27 Feb 2025
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph Shiqi Wang Zhibo Zhang Libing Fang Cam-Tu Nguyen Wenzhon Li 55 0 0 26 Feb 2025
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning Zhu Wang Shuang Zhou Junnan Dong Chang Yang Xiao Huang Shengjie Zhao 37 1 0 08 Jul 2024
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective De Li Xianxian Li Zeming Gan Qiyu Li Bin Qu Jinyan Wang NoLa 38 1 0 11 Jun 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise Zhonghao Wang Danyu Sun Sheng Zhou Haobo Wang Jiapei Fan Longtao Huang Jiajun Bu NoLa 25 0 0 06 Jun 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 34 36 0 07 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 42 2 0 04 Mar 2024
Low-Rank Graph Contrastive Learning for Node Classification Yancheng Wang Yingzhen Yang 11 2 0 14 Feb 2024
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning Yi Cheng Renjun Hu Haochao Ying Xing Shi Jian Wu Wei Lin LMTD 29 8 0 04 Feb 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 28 9 0 13 Dec 2023
CSGNN: Conquering Noisy Node labels via Dynamic Class-wise Selection Yifan Li Zhen Tan Kai Shu Zongsheng Cao Yu Kong Huan Liu 22 1 0 20 Nov 2023
Resist Label Noise with PGM for Graph Neural Networks Qingqing Ge Jianxiang Yu Zeyuan Zhao Xiang Li NoLa AAML 13 0 0 03 Nov 2023
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise Yao Cheng Caihua Shan Yifei Shen Xiang Li Siqiang Luo Dongsheng Li 19 5 0 25 Oct 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels Jingyang Yuan Xiao Luo Yifang Qin Zhengyan Mao Wei Ju Ming Zhang AAML 26 18 0 26 Sep 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 26 19 0 20 Sep 2023
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 30 1 0 29 Jul 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 167 3,855 0 14 Dec 2020
Grale: Designing Networks for Graph Learning Jonathan J. Halcrow A. Mosoi Sam Ruth Bryan Perozzi GNN 63 46 0 23 Jul 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 494 0 05 Mar 2020