Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective

9 June 2022

Papers citing "Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective"

50 / 56 papers shown

Title
FMP: Toward Fair Graph Message Passing against Topology Bias Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu 62 48 0 08 Feb 2022
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 46 45 0 14 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 202 15 0 12 Nov 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 58 75 0 28 Oct 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 65 63 0 24 Aug 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 133 109 0 05 Jul 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 240 234 0 23 Mar 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 79 82 0 10 Mar 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 57 358 0 18 Feb 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 101 203 0 28 Jan 2021
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah AI4CE 110 177 0 05 Oct 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective Hongwei Zhang Tijin Yan Zenjun Xie Yuanqing Xia Yuan Zhang GNN 65 24 0 24 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 71 74 0 04 Sep 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 116 127 0 04 Aug 2020
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 69 163 0 31 Jul 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 98 605 0 18 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 119 1,485 0 04 Jul 2020
A Note on Over-Smoothing for Graph Neural Networks Chen Cai Yusu Wang 81 272 0 23 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 269 738 0 14 Jun 2020
Understanding and Resolving Performance Degradation in Graph Convolutional Networks Kuangqi Zhou Yanfei Dong Kaixin Wang W. Lee Bryan Hooi Huan Xu Jiashi Feng GNN BDL 111 92 0 12 Jun 2020
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives Guoji Fu Buse Giledereli Jian Zhang Kaili Ma Barakeel Fanseu Kamhoua James Cheng 44 18 0 08 Jun 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 303 2,730 0 02 May 2020
Revisiting Over-smoothing in Deep GCNs Chaoqi Yang Ruijie Wang Shuochao Yao Shengzhong Liu Tarek Abdelzaher 61 96 0 30 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 318 1,119 0 13 Feb 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 100 1,021 0 22 Dec 2019
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 68 509 0 26 Sep 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 93 496 0 11 Jun 2019
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection Pan Li Eli Chien O. Milenkovic 63 68 0 26 May 2019
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks Ekaterina V. Tolstaya Fernando Gama James Paulos George Pappas Vijay Kumar Alejandro Ribeiro GNN 91 173 0 25 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 226 4,339 0 06 Mar 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 239 3,174 0 19 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 775 8,533 0 03 Jan 2019
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 1.1K 5,517 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 149 1,333 0 11 Dec 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 165 1,360 0 14 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 222 1,688 0 14 Oct 2018
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds Xiaohan Chen Jialin Liu Zhangyang Wang W. Yin 69 234 0 29 Aug 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 505 1,982 0 09 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 287 902 0 07 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 260 3,540 0 06 Jun 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 184 2,826 0 22 Jan 2018
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 167 1,239 0 10 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,138 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 509 15,247 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,455 0 04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 629 29,051 0 09 Sep 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding Vardan Papyan Yaniv Romano Michael Elad 88 286 0 27 Jul 2016
Onsager-corrected deep learning for sparse linear inverse problems M. Borgerding Philip Schniter 69 92 0 20 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 347 7,655 0 30 Jun 2016
Revisiting Semi-Supervised Learning with Graph Embeddings Zhilin Yang William W. Cohen Ruslan Salakhutdinov GNN SSL 166 2,095 0 29 Mar 2016