Unifying Graph Convolutional Neural Networks and Label Propagation

17 February 2020

Papers citing "Unifying Graph Convolutional Neural Networks and Label Propagation"

44 / 94 papers shown

Title
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization Menglin Yang Min Zhou Jiahong Liu Defu Lian Irwin King 19 86 0 18 Apr 2022
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers Jie Song M. Liang Zhe Xue Junping Du Feifei Kou 38 0 0 31 Mar 2022
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels Wentao Zhang Yexin Wang Zhenbang You Meng Cao Ping Huang Jiulong Shan Zhi-Xin Yang Bin Cui AAML 38 19 0 02 Mar 2022
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks Frederik Wenkel Yimeng Min M. Hirn Michael Perlmutter Guy Wolf GNN 29 21 0 22 Jan 2022
Distance and Hop-wise Structures Encoding Enhanced Graph Attention Networks Zhiyi Huang Xiaowei Chen Bojuan Wang 36 0 0 06 Dec 2021
Multi-task Self-distillation for Graph-based Semi-Supervised Learning Yating Ren Junzhong Ji Lingfeng Niu Minglong Lei SSL 24 7 0 02 Dec 2021
Structure-Aware Label Smoothing for Graph Neural Networks Yiwei Wang Yujun Cai Keli Zhang Wei Wang Henghui Ding Muhao Chen Jing Tang Bryan Hooi 34 3 0 01 Dec 2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks Yu-Chiang Frank Wang Yuying Zhao Neil Shah Tyler Derr 35 48 0 01 Dec 2021
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 19 45 0 14 Nov 2021
Implicit SVD for Graph Representation Learning Sami Abu-El-Haija Hesham Mostafa Marcel Nassar V. Crespi Greg Ver Steeg Aram Galstyan 43 5 0 11 Nov 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zhangyang Wang Karthik Subbian 32 62 0 08 Nov 2021
Improving Peer Assessment with Graph Convolutional Networks Alireza A. Namanloo Julie Thorpe Amirali Salehi-Abari GNN 25 2 0 04 Nov 2021
Topological Relational Learning on Graphs Yuzhou Chen Baris Coskunuzer Yulia R. Gel 33 38 0 29 Oct 2021
RIM: Reliable Influence-based Active Learning on Graphs Wentao Zhang Yexin Wang Zhenbang You Mengyao Cao Ping Huang Jiulong Shan Zhi-Xin Yang Bin Cui 40 30 0 28 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 41 81 0 26 Oct 2021
Deeper-GXX: Deepening Arbitrary GNNs Lecheng Zheng Dongqi Fu Ross Maciejewski Jingrui He 27 11 0 26 Oct 2021
Why Propagate Alone? Parallel Use of Labels and Features on Graphs Yangkun Wang Jiarui Jin Weinan Zhang Yongyi Yang Jiuhai Chen Quan Gan Yong Yu Zheng-Wei Zhang Zengfeng Huang David Wipf AAML 58 12 0 14 Oct 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification Deli Chen Yankai Lin Guangxiang Zhao Xuancheng Ren Peng Li Jie Zhou Xu Sun 21 88 0 08 Oct 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu AI4CE 29 19 0 30 Aug 2021
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization Wentao Zhang Zhi-Xin Yang Yexin Wang Yu Shen Yang Li Liang Wang Bin Cui 14 50 0 31 Jul 2021
PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels Wenting Li Deepjyoti Deka 35 7 0 05 Jul 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification Jie Chen Shouzhen Chen Mingyuan Bai Jian Pu Junping Zhang Junbin Gao 39 21 0 28 Apr 2021
Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data Madeleine S. Kotzagiannidis Carola-Bibiane Schönlieb 24 14 0 27 Apr 2021
Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks Claudio Bellei Hussain Alattas N. Kaaniche GNN 27 8 0 05 Apr 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 21 139 0 27 Mar 2021
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Cheng Yang Jiawei Liu C. Shi 25 123 0 04 Mar 2021
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding Menglin Yang Ziqiao Meng Irwin King 28 28 0 27 Feb 2021
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations Junteng Jia Austin R. Benson 29 28 0 19 Jan 2021
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification Deli Chen Yankai Lin Lei Li Xuancheng Ren Peng Li Jie Zhou Xu Sun 32 5 0 14 Dec 2020
Cyclic Label Propagation for Graph Semi-supervised Learning Zhao Li Yixin Liu Zhen Zhang Shirui Pan Jianliang Gao Jiajun Bu 16 7 0 24 Nov 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 34 283 0 27 Oct 2020
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation Hande Dong Jiawei Chen Fuli Feng Xiangnan He Shuxian Bi Zhaolin Ding Peng Cui BDL 33 102 0 23 Oct 2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations Sebastian Mežnar Nada Lavrac Blaž Škrlj 11 5 0 08 Sep 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 28 750 0 08 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 27 72 0 04 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 16 241 0 03 Sep 2020
NodeNet: A Graph Regularised Neural Network for Node Classification Shrey Dabhi Manojkumar Somabhai Parmar GNN 27 11 0 16 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 42 161 0 14 Jun 2020
A Graph Convolutional Network Composition Framework for Semi-supervised Classification Rahul Ragesh Sundararajan Sellamanickam Vijay Lingam Arun Shankar Iyer GNN 25 2 0 08 Apr 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection Xiaoya Li Yuxian Meng Mingxin Zhou Qinghong Han Fei Wu Jiwei Li 27 20 0 22 Mar 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs Han Yang Xiao Yan XINYAN DAI Yongqiang Chen James Cheng 13 36 0 18 Feb 2020
Relational Message Passing for Knowledge Graph Completion Hongwei Wang Hongyu Ren J. Leskovec 16 118 0 17 Feb 2020
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 33 5,406 0 20 Dec 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,944 0 09 Jun 2018