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Graph Neural Networks with convolutional ARMA filters

5 January 2019

Papers citing "Graph Neural Networks with convolutional ARMA filters"

50 / 50 papers shown

Title
Graph Wave Networks Juwei Yue Haikuo Li Jiawei Sheng Yihan Guo Xinghua Zhang Chuan Zhou Tingwen Liu Li Guo 214 1 0 26 May 2025
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening Guoming Li Jian Yang Yifan Chen 181 0 0 20 May 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 244 3 0 24 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Zhen Zhang Bingsheng He 240 2 0 05 Feb 2025
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization Song Wang Xiaodong Yang Rashidul Islam Huiyuan Chen Minghua Xu Jundong Li Yiwei Cai OODD 245 3 0 07 Jan 2025
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos Changwoon Choi Jeongjun Kim Geonho Cha Minkwan Kim Dongyoon Wee Young Min Kim 3DH 131 2 0 26 Dec 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction Kangkang Lu Yanhua Yu Hao Fei Xuan Li Zixuan Yang Zirui Guo Meiyu Liang Mengran Yin Tat-Seng Chua 92 4 0 28 Jan 2024
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola Cesare Alippi GNN 168 156 0 22 Jun 2020
Fast and Deep Graph Neural Networks Claudio Gallicchio Alessio Micheli GNN 68 103 0 20 Nov 2019
Dynamical Systems as Temporal Feature Spaces Peter Tiño 42 23 0 15 Jul 2019
Stability of Graph Scattering Transforms Fernando Gama Joan Bruna Alejandro Ribeiro GNN 64 85 0 11 Jun 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 130 434 0 23 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 237 4,364 0 06 Mar 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 246 3,182 0 19 Feb 2019
On the Transferability of Spectral Graph Filters Ron Levie Elvin Isufi Gitta Kutyniok 66 64 0 29 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 84 228 0 06 Jan 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 225 1,694 0 14 Oct 2018
Geometric Scattering for Graph Data Analysis Feng Gao Guy Wolf M. Hirn GNN 68 113 0 07 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 257 7,695 0 01 Oct 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 310 2,154 0 22 Jun 2018
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
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 769 3,129 0 04 Jun 2018
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing D. Bacciu Federico Errica Alessio Micheli BDL GNN 70 73 0 27 May 2018
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds Daniele Grattarola Daniele Zambon Cesare Alippi L. Livi GNN 50 41 0 16 May 2018
Graph Convolutional Neural Networks via Scattering Dongmian Zou Gilad Lerman GNN 59 122 0 31 Mar 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
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels Matthias Fey J. E. Lenssen F. Weichert H. Müller 3DPC 166 442 0 24 Nov 2017
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
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 185 659 0 22 May 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs M. Simonovsky N. Komodakis GNN 212 1,232 0 10 Apr 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 418 1,824 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 813 3,293 0 24 Nov 2016
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 153 3,592 0 21 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 911 6,796 0 26 Sep 2016
Column Networks for Collective Classification Trang Pham T. Tran Dinh Q. Phung Svetha Venkatesh GNN 110 145 0 15 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 662 29,156 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 358 7,671 0 30 Jun 2016
On the Expressive Power of Deep Neural Networks M. Raghu Ben Poole Jon M. Kleinberg Surya Ganguli Jascha Narain Sohl-Dickstein 63 790 0 16 Jun 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 143 2,154 0 17 May 2016
Revisiting Semi-Supervised Learning with Graph Embeddings Zhilin Yang William W. Cohen Ruslan Salakhutdinov GNN SSL 174 2,105 0 29 Mar 2016
Autoregressive Moving Average Graph Filtering Elvin Isufi Andreas Loukas Andrea Simonetto G. Leus 131 244 0 14 Feb 2016
Diffusion-Convolutional Neural Networks James Atwood Don Towsley GNN DiffM 197 1,256 0 06 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 223 3,357 0 30 Sep 2015
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 157 1,587 0 16 Jun 2015
Distributed Autoregressive Moving Average Graph Filters Andreas Loukas Andrea Simonetto G. Leus 52 98 0 24 Apr 2015
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 263 9,800 0 26 Mar 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 230 4,884 0 21 Dec 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 684 31,544 0 16 Jan 2013
Chebyshev Polynomial Approximation for Distributed Signal Processing D. Shuman P. Vandergheynst P. Frossard 96 154 0 10 May 2011