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"

50 / 1,099 papers shown

Title
A Primer on Temporal Graph Learning Aniq Ur Rahman J. Coon AI4CE 42 1 0 08 Jan 2024
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction Haiyang Liu Chunjiang Zhu Detian Zhang AI4TS 24 0 0 07 Jan 2024
Double-well Net for Image Segmentation Haotian Liu Jun Liu Raymond H. F. Chan Xue-Cheng Tai 49 7 0 31 Dec 2023
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs Stefano Fiorini Stefano Coniglio Michele Ciavotta Enza Messina GNN 29 5 0 28 Dec 2023
Graph Neural Networks for Antisocial Behavior Detection on Twitter Martina Toshevska S. Kalajdziski Sonja Gievska 24 0 0 28 Dec 2023
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting Minbo Ma Jilin Hu Christian S. Jensen Fei Teng Peng Han Zhiqiang Xu Tian-Jie Li AI4TS 52 3 0 27 Dec 2023
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering Bingheng Li Erlin Pan Zhao Kang 24 32 0 22 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 49 2 0 19 Dec 2023
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization Tianrui Jia Haoyang Li Cheng Yang Tao Tao Chuan Shi OOD 37 17 0 18 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 21 7 0 18 Dec 2023
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs Jin Li Qirong Zhang Shuling Xu Xinlong Chen Longkun Guo Yanglan Fu 29 0 0 13 Dec 2023
Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi Hyowon Wi Jayoung Kim Yehjin Shin Kookjin Lee Nathaniel Trask Noseong Park 32 4 0 07 Dec 2023
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting Xiaobei Zou Luolin Xiong Yang Tang Jürgen Kurths AI4TS 33 1 0 05 Dec 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams Chaoyi Chen Dechao Gao Yanfeng Zhang Qiange Wang Zhenbo Fu Xuecang Zhang Junhua Zhu Yu Gu Ge Yu GNN 43 5 0 05 Dec 2023
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks Zhan Gao Amanda Prorok Elvin Isufi 35 1 0 04 Dec 2023
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 35 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 6 0 01 Nov 2023
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning Gaichao Li Jinsong Chen J. Hopcroft Kun He 24 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 29 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 38 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 40 18 0 18 Oct 2023
Graph Distillation with Eigenbasis Matching Yang Liu Deyu Bo Chuan Shi DD 28 9 0 13 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 17 38 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 23 59 0 09 Oct 2023
URLOST: Unsupervised Representation Learning without Stationarity or Topology Zeyu Yun Juexiao Zhang Bruno A. Olshausen Yann LeCun 31 0 0 06 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 34 76 0 01 Oct 2023
Sheaf Hypergraph Networks Iulia Duta Giulia Cassara Fabrizio Silvestri Pietro Lió 17 18 0 29 Sep 2023
Asynchronous Graph Generator Christopher P. Ley Felipe Tobar AI4TS 43 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
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 29 5 0 24 Sep 2023
DGSD: Dynamical Graph Self-Distillation for EEG-Based Auditory Spatial Attention Detection Cunhang Fan Hongyu Zhang Wei Huang Jun Xue Jianhua Tao Jiangyan Yi Zhao Lv Xiaopei Wu 22 11 0 07 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 36 11 0 06 Sep 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 40 0 0 30 Aug 2023
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling Zihang Liu Le Yu T. Zhu Lei Sun AI4TS 21 0 0 22 Aug 2023
PVG: Progressive Vision Graph for Vision Recognition Jiafu Wu Jian Li Jiangning Zhang Boshen Zhang M. Chi Yabiao Wang Chengjie Wang ViT 28 13 0 01 Aug 2023
Node Injection Link Stealing Attack Oualid Zari Javier Parra-Arnau Ayşe Ünsal Melek Önen 40 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 22 2 0 24 Jul 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs Thomas Markovich GNN 24 3 0 20 Jul 2023
How Curvature Enhance the Adaptation Power of Framelet GCNs Dai Shi Yi Guo Zhiqi Shao Junbin Gao 26 14 0 19 Jul 2023
Automated Polynomial Filter Learning for Graph Neural Networks Wendi Yu Zhichao Hou Xiaorui Liu 24 0 0 16 Jul 2023
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 39 4 0 13 Jul 2023
Pyramid Deep Fusion Network for Two-Hand Reconstruction from RGB-D Images Jinwei Ren Jianke Zhu 3DH 30 2 0 12 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 27 0 0 21 Jun 2023
Joint Dense-Point Representation for Contour-Aware Graph Segmentation Kit M. Bransby Greg Slabaugh Christos Bourantas Qianni Zhang ISeg 16 4 0 21 Jun 2023
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation Jingwen Guo Hong Liu Shitong Sun Tianyu Guo Hao Fei Chenyang Si 41 3 0 19 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 28 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