Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

30 June 2016

Papers citing "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering"

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Title
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI Nicolás Gaggion Benjamin A. Matheson Yan Xia Rodrigo Bonazzola Nishant Ravikumar Zeike A. Taylor Diego H. Milone Alejandro F. Frangi Enzo Ferrante 27 3 0 22 Nov 2023
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation Jiangnan Xia Yu Yang Senzhang Wang Hongzhi Yin Jiannong Cao Phillp S. Yu 16 5 0 01 Nov 2023
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning Gaichao Li Jinsong Chen J. Hopcroft Kun He 19 0 0 31 Oct 2023
Artifact-Robust Graph-Based Learning in Digital Pathology Saba Heidari Gheshlaghi Milan Aryal Nasim Yahyasoltani Masoud Ganji OOD 27 0 0 27 Oct 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 27 0 0 23 Oct 2023
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition Hongxiang Gao Xiangyao Wang Zhenghua Chen Min-man Wu Zhipeng Cai Lulu Zhao Jianqing Li Chengyu Liu 30 9 0 22 Oct 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection Junjun Pan Yixin Liu Yizhen Zheng Shirui Pan 32 18 0 18 Oct 2023
Graph Distillation with Eigenbasis Matching Yang Liu Deyu Bo Chuan Shi DD 26 9 0 13 Oct 2023
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis Zezhi Shao Fei Wang Yongjun Xu Wei Wei Chengqing Yu ... Guangyin Jin Xin Cao Gao Cong Christian S. Jensen Xueqi Cheng AI4TS 18 57 0 09 Oct 2023
URLOST: Unsupervised Representation Learning without Stationarity or Topology Zeyu Yun Juexiao Zhang Bruno A. Olshausen Yann LeCun 23 0 0 06 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 17 76 0 01 Oct 2023
Asynchronous Graph Generator Christopher P. Ley Felipe Tobar AI4TS 41 0 0 29 Sep 2023
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression Kyriaki-Margarita Bintsi Tamara T. Mueller Sophie Starck V. Baltatzis A. Hammers Daniel Rueckert 17 2 0 26 Sep 2023
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond Zhiqi Shao Dai Shi Andi Han Yi Guo Qianchuan Zhao Junbin Gao 26 11 0 06 Sep 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 25 0 0 30 Aug 2023
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling Zihang Liu Le Yu T. Zhu Lei Sun AI4TS 19 0 0 22 Aug 2023
Node Injection Link Stealing Attack Oualid Zari Javier Parra-Arnau Ayşe Ünsal Melek Önen 23 2 0 25 Jul 2023
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification Aryan Singh Pepijn Van de Ven Ciarán Eising Patrick Denny GNN 17 2 0 24 Jul 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs Thomas Markovich GNN 10 3 0 20 Jul 2023
How Curvature Enhance the Adaptation Power of Framelet GCNs Dai Shi Yi Guo Zhiqi Shao Junbin Gao 21 14 0 19 Jul 2023
Automated Polynomial Filter Learning for Graph Neural Networks Wendi Yu Zhichao Hou Xiaorui Liu 16 0 0 16 Jul 2023
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 28 4 0 13 Jul 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Bin Cui 22 13 0 28 Jun 2023
Geometric Pooling: maintaining more useful information Hao Xu Jia Liu Yang Shen Kenan Lou Yanxia Bao Ruihua Zhang Shuyue Zhou Hongsen Zhao Shuai Wang 22 0 0 21 Jun 2023
Joint Dense-Point Representation for Contour-Aware Graph Segmentation Kit M. Bransby Greg Slabaugh Christos Bourantas Qianni Zhang ISeg 11 4 0 21 Jun 2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation Yu Wang Tongya Zheng Shunyu Liu Zunlei Feng Kaixuan Chen Yunzhi Hao Min-Gyoo Song 23 7 0 15 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 11 5 0 14 Jun 2023
Bayesian Optimisation of Functions on Graphs Xingchen Wan Pierre Osselin Henry Kenlay Binxin Ru Michael A. Osborne Xiaowen Dong 24 4 0 08 Jun 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials Mingguo He Zhewei Wei Shi Feng Zhengjie Huang Weibin Li Yu Sun Dianhai Yu 19 6 0 31 May 2023
Learning Representations without Compositional Assumptions Tennison Liu Jeroen Berrevoets Zhaozhi Qian M. Schaar OCL SSL 30 1 0 31 May 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 15 30 0 31 May 2023
A graphon-signal analysis of graph neural networks Ron Levie 24 16 0 25 May 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 30 1 0 25 May 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention Hongjun Wang Jiyuan Chen Lun Du Qiang Fu Shi Han Xuan Song CML GNN 20 4 0 22 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 22 29 0 22 May 2023
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement Zhangyang Gao Cheng Tan Stan Z. Li 21 15 0 20 May 2023
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness Yuxuan Zhou Zhi-Qi Cheng Ju He Bin Luo Yifeng Geng Xuansong Xie 29 11 0 19 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 22 56 0 17 May 2023
How does Contrastive Learning Organize Images? Yunzhe Zhang Yao Lu Qi Xuan SSL 8 0 0 17 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 28 3 0 16 May 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting G. Liang Prayag Tiwari Sławomir Nowaczyk Stefan Byttner F. Alonso-Fernandez DiffM 36 12 0 16 May 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 28 52 0 15 May 2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting Ryo Umagami Yusuke Ono Yusuke Mukuta Tatsuya Harada AI4TS 37 3 0 14 May 2023
Enhancing Road Safety through Accurate Detection of Hazardous Driving Behaviors with Graph Convolutional Recurrent Networks Pooyan Khosravinia Thinagaran Perumal Javad Zarrin 19 7 0 08 May 2023
Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting Van-Duc Le GNN AI4TS 14 10 0 25 Apr 2023
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs Yuan Luo Lei Shi Mufan Xu Yuwen Ji Fengli Xiao Chunming Hu Zhiguang Shan 13 9 0 24 Apr 2023
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs Matthieu Cordonnier Nicolas Keriven Nicolas M Tremblay Samuel Vaiter GNN 45 7 0 21 Apr 2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing Zhaoliang Chen Zhihao Wu Zhe-Hui Lin Shiping Wang Claudia Plant Wenzhong Guo 27 18 0 14 Apr 2023
$$E(3) \times SO(3)$-Equivariant Networks for Spherical Deconvolution in Diffusion MRI$ $E(3) \times SO(3)$ -Equivariant Networks for Spherical Deconvolution in Diffusion MRI Axel Elaldi Guido Gerig Neel Dey MedIm 14 3 0 12 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 26 14 0 12 Apr 2023