Data-centric Graph Learning: A Survey

8 October 2023

Cheng Yang

Papers citing "Data-centric Graph Learning: A Survey"

50 / 50 papers shown

Title
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 184 19 0 28 Jan 2025
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 49 14 0 26 Aug 2023
Fast Graph Generation via Spectral Diffusion Tianze Luo Zhanfeng Mo Sinno Jialin Pan DiffM 51 24 0 16 Nov 2022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation Zhichun Guo Chunhui Zhang Yujie Fan Yijun Tian Chuxu Zhang Nitesh Chawla 47 34 0 12 Oct 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 54 107 0 15 Jun 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng Jiang OOD 45 82 0 06 Jun 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 59 69 0 13 Mar 2022
G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han Zhimeng Jiang Ninghao Liu Xia Hu 35 194 0 15 Feb 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 67 39 0 19 Jan 2022
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs Qiaoyu Tan Ninghao Liu Xiao Shi Huang Rui Chen Soo-Hyun Choi Xia Hu SSL 36 39 0 07 Jan 2022
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 102 82 0 20 Nov 2021
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning Xinzhi Dong Chengjiang Long Wenju Xu Chunxia Xiao ViT 96 66 0 05 Aug 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 33 39 0 22 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 62 525 0 07 Jun 2021
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping Zhangyang Gao S. Bhattacharya Leiming Zhang Rick S. Blum Alejandro Ribeiro Brian M. Sadler 54 25 0 05 Jun 2021
Graph Coarsening with Neural Networks Chen Cai Dingkang Wang Yusu Wang DD 83 67 0 02 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 202 195 0 01 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 144 573 0 04 Jan 2021
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification Juncheng Liu Yiwei Wang Bryan Hooi Renchi Yang X. Xiao 48 7 0 13 Dec 2020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 62 298 0 30 Nov 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 52 1,088 0 27 Oct 2020
Location-aware Graph Convolutional Networks for Video Question Answering Deng Huang Peihao Chen Runhao Zeng Qing Du Mingkui Tan Chuang Gan GNN BDL 74 174 0 07 Aug 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 73 638 0 18 Jun 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 72 391 0 22 May 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 173 2,687 0 02 May 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 30 130 0 11 Feb 2020
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 73 282 0 17 Nov 2019
Certifiable Robustness to Graph Perturbations Aleksandar Bojchevski Stephan Günnemann AAML 45 123 0 31 Oct 2019
Active Learning for Graph Neural Networks via Node Feature Propagation Yuexin Wu Yichong Xu Aarti Singh Yiming Yang A. Dubrawski GNN AI4CE 60 63 0 16 Oct 2019
Graph Residual Flow for Molecular Graph Generation Shion Honda Hirotaka Akita Katsuhiko Ishiguro Toshiki Nakanishi Kenta Oono 46 42 0 30 Sep 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 77 826 0 08 Aug 2019
Bayesian Batch Active Learning as Sparse Subset Approximation Robert Pinsler Jonathan Gordon Eric T. Nalisnick José Miguel Hernández-Lobato UQCV 28 132 0 06 Aug 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 69 1,323 0 25 Jul 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 79 492 0 11 Jun 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 57 160 0 30 May 2019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs Kaushalya Madhawa Katushiko Ishiguro Kosuke Nakago Motoki Abe BDL 96 190 0 28 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 104 1,266 0 20 May 2019
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks Indro Spinelli Simone Scardapane A. Uncini MedIm AI4CE 40 146 0 06 May 2019
Label Propagation for Deep Semi-supervised Learning Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum SSL 61 622 0 09 Apr 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection Jia-Xing Zhong Nannan Li Weijie Kong Shan Liu Thomas H. Li Ge Li NoLa SSL 93 401 0 18 Mar 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 94 2,018 0 08 Feb 2019
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 65 227 0 27 Nov 2018
Contextualized Non-local Neural Networks for Sequence Learning Pengfei Liu Shuaichen Chang Xuanjing Huang Jian Tang Jackie C.K. Cheung 46 47 0 21 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 139 7,554 0 01 Oct 2018
Adversarial Sampling for Active Learning Christoph Mayer Radu Timofte GAN 109 116 0 20 Aug 2018
Stable Prediction across Unknown Environments Kun Kuang Ruoxuan Xiong Peng Cui Susan Athey Bo Li OOD 38 167 0 16 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 257 895 0 07 Jun 2018
Adaptive Graph Convolutional Neural Networks Ruoyu Li Sheng Wang Feiyun Zhu Junzhou Huang GNN 95 750 0 10 Jan 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 480 3,264 0 24 Nov 2016
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 524 31,406 0 16 Jan 2013