Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework

11 January 2023

Papers citing "Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework"

22 / 22 papers shown

Title
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning Zhaoliang Chen Lele Fu J. Yao Wenzhong Guo Claudia Plant Shiping Wang 87 121 0 16 Nov 2022
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 74 30 0 14 Dec 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng Zhang Zengfeng Huang David Wipf 99 83 0 10 Mar 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 119 203 0 28 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 179 593 0 04 Jan 2021
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 112 609 0 18 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 127 492 0 05 Jul 2020
Connecting Graph Convolutional Networks and Graph-Regularized PCA Lingxiao Zhao Leman Akoglu GNN 37 5 0 22 Jun 2020
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction Hongxu Chen Hongzhi Yin Xiangguo Sun Tong Chen Bogdan Gabrys Katarzyna Musial 61 139 0 02 Jun 2020
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting Weiqiu Chen Ling Chen Yu Xie Wei Cao Yusong Gao Xiaojie Feng AI4TS 78 296 0 27 Nov 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 96 83 0 14 Aug 2019
Multi-Label Image Recognition with Graph Convolutional Networks Zhao-Min Chen Xiu-Shen Wei Peng Wang Yanwen Guo 121 1,001 0 07 Apr 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 254 3,188 0 19 Feb 2019
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 91 229 0 27 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 225 1,695 0 14 Oct 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 526 1,991 0 09 Jun 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 199 2,839 0 22 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 491 20,295 0 30 Oct 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Ting Yu Haoteng Yin Zhanxing Zhu GNN AI4TS 160 3,737 0 14 Sep 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 523 15,369 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 691 29,220 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 373 7,680 0 30 Jun 2016