Optimization-Induced Graph Implicit Nonlinear Diffusion

29 June 2022

Papers citing "Optimization-Induced Graph Implicit Nonlinear Diffusion"

39 / 39 papers shown

Title
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 155 0 0 11 Oct 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory Weichen Zhao Chenguang Wang Xinyan Wang Congying Han Tiande Guo Tianshu Yu 127 0 0 23 Feb 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 111 3 0 25 Jan 2024
EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu Kenji Kawaguchi Bryan Hooi Yiwei Wang X. Xiao GNN 84 38 0 22 Feb 2022
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 111 71 0 09 Nov 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 92 131 0 04 Aug 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 137 109 0 05 Jul 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 123 270 0 21 Jun 2021
Convergent Graph Solvers Junyoung Park J. Choo Jinkyoo Park 62 13 0 03 Jun 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 93 83 0 10 Mar 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 103 84 0 22 Feb 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 111 203 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 113 177 0 05 Oct 2020
Implicit Graph Neural Networks Fangda Gu Heng Chang Wenwu Zhu Somayeh Sojoudi L. Ghaoui GNN 80 149 0 14 Sep 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 124 1,496 0 04 Jul 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 91 211 0 15 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 118 92 0 12 Jun 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 324 1,123 0 13 Feb 2020
Continuous Graph Neural Networks Louis-Pascal Xhonneux Meng Qu Jian Tang GNN 94 155 0 02 Dec 2019
Fast and Deep Graph Neural Networks Claudio Gallicchio Alessio Micheli GNN 71 103 0 20 Nov 2019
Deep Equilibrium Models Shaojie Bai J. Zico Kolter V. Koltun 94 671 0 03 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 668 5,839 0 25 Jul 2019
Deep Graph-Convolutional Image Denoising D. Valsesia Giulia Fracastoro E. Magli GNN SSL 54 145 0 19 Jul 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 97 916 0 30 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 237 4,364 0 06 Mar 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 253 1,901 0 19 Feb 2019
Graph Neural Networks with Generated Parameters for Relation Extraction Hao Zhu Yankai Lin Zhiyuan Liu Jie Fu Tat-Seng Chua Maosong Sun 91 126 0 02 Feb 2019
Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations Hongyang Gao Yongjun Chen Shuiwang Ji GNN 46 41 0 21 Jan 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 518 1,990 0 09 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 266 3,550 0 06 Jun 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 194 2,830 0 22 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,233 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,488 0 04 Apr 2017
Regularizing CNNs with Locally Constrained Decorrelations Pau Rodríguez López Jordi Gonzalez Guillem Cucurull J. M. Gonfaus F. X. Roca 70 133 0 07 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 662 29,156 0 09 Sep 2016
Instance Normalization: The Missing Ingredient for Fast Stylization Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 177 3,713 0 27 Jul 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 432 10,531 0 21 Jul 2016
Diffusion-Convolutional Neural Networks James Atwood Don Towsley GNN DiffM 197 1,256 0 06 Nov 2015