Label Efficient Semi-Supervised Learning via Graph Filtering

28 January 2019

Qimai Li

Xiao-Ming Wu

Han Liu

Xiaotong Zhang

Zhichao Guan

ArXiv PDF HTML

Papers citing "Label Efficient Semi-Supervised Learning via Graph Filtering"

21 / 21 papers shown

Title
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning Xiang Zhang Qiao Wang 33 3 0 23 Nov 2023
Domain-adaptive Message Passing Graph Neural Network X. Shen Shirui Pan K. Choi Xiaoping Zhou 36 16 0 31 Aug 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 25 6 0 15 Apr 2023
Continual Graph Convolutional Network for Text Classification Tiandeng Wu Qijiong Liu Yinhao Cao yao. huang Xiao-Ming Wu Jiandong Ding GNN 16 9 0 09 Apr 2023
Learning Optimal Graph Filters for Clustering of Attributed Graphs Meiby Ortiz-Bouza Selin Aviyente GNN 21 1 0 09 Nov 2022
How Powerful is Implicit Denoising in Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lu Lin Jinghui Chen Di Wu GNN AI4CE 22 3 0 29 Sep 2022
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students Xueye Zheng Yuan Luo Hao Wang Chong Fu Lin Wang ViT 41 18 0 06 Sep 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie R. Kannan C.-C. Jay Kuo 24 2 0 19 Apr 2022
Graph Neural Networks: a bibliometrics overview Abdalsamad Keramatfar Mohadeseh Rafiee Hossein Amirkhani GNN AI4CE 39 24 0 03 Jan 2022
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 38 18 0 21 Jul 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data Mahsa Ghorbani Anees Kazi M. Baghshah Hamid R. Rabiee Nassir Navab 19 72 0 27 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 94 561 0 04 Jan 2021
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 24 72 0 04 Sep 2020
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering Meng Liu D. Gleich 16 13 0 15 Jun 2020
Directed Graph Convolutional Network Zekun Tong Yuxuan Liang Changsheng Sun David S. Rosenblum A. Lim BDL GNN 26 112 0 29 Apr 2020
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection Kaihua Zhang Tengpeng Li Shiwen Shen Bo Liu Jin Chen Qingshan Liu 19 96 0 13 Mar 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 29 45 0 27 Feb 2020
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding Chenhui Deng Zhiqiang Zhao Yongyu Wang Zhiru Zhang Zhuo Feng 30 105 0 06 Oct 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 23 84 0 04 Sep 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 11 3,109 0 19 Feb 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016