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 / 861 papers shown

Title
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation Peiyu Liang Hongchang Gao Xubin He 30 0 0 04 Jun 2024
Bayesian Optimization of Functions over Node Subsets in Graphs Huidong Liang Xingchen Wan Xiaowen Dong 42 1 0 24 May 2024
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger Federico Barbero Xiaowen Dong Michael M. Bronstein 37 1 0 24 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 71 41 0 23 May 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 34 7 0 22 May 2024
Unleash Graph Neural Networks from Heavy Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao AI4CE 27 2 0 21 May 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lió 40 20 0 21 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 48 1 0 20 May 2024
Learning Coarse-Grained Dynamics on Graph Yin Yu J. Harlim Daning Huang Yan Li 35 1 0 15 May 2024
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting Qinshuo Liu Yanwen Fang Pengtao Jiang Guodong Li AI4TS 21 0 0 14 May 2024
3D Hand Mesh Recovery from Monocular RGB in Camera Space Haonan Li Patrick P. K. Chen Yitong Zhou 3DH 43 2 0 12 May 2024
Adaptive Least Mean pth Power Graph Neural Networks Changran Peng Yi Yan E. Kuruoglu 24 0 0 07 May 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning Weilin Chen Ruichu Cai Zeqin Yang Jie Qiao Yuguang Yan Zijian Li Zhifeng Hao CML 32 7 0 06 May 2024
Multitask Extension of Geometrically Aligned Transfer Encoder Sung Moon Ko Sumin Lee Dae-Woong Jeong Hyunseung Kim Chanhui Lee Soorin Yim Sehui Han 31 1 0 03 May 2024
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction Hao Miao Senzhang Wang Meiyue Zhang Diansheng Guo Funing Sun Fan Yang 41 1 0 23 Apr 2024
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching Zibin Huang Jun Xian GNN 27 0 0 19 Apr 2024
Joint Contrastive Learning with Feature Alignment for Cross-Corpus EEG-based Emotion Recognition Qile Liu Zhihao Zhou Jiyuan Wang Zhen Liang 32 1 0 15 Apr 2024
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise Tai Hasegawa Sukwon Yun Xin Liu Yin Jun Phua Tsuyoshi Murata 21 0 0 14 Apr 2024
Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things Keivan Faghih Niresi Hugo Bissig Henri Baumann Olga Fink AI4CE 41 2 0 11 Apr 2024
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning Andrew Holliday A. El-geneidy Gregory Dudek 27 0 0 08 Apr 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction Jhon A. Castro-Correa Jhony H. Giraldo Mohsen Badiey Fragkiskos D. Malliaros 30 7 0 28 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks Philip Matthias Winter M. Wimmer David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Gaia Romana De Paolis Johannes Novotny Sophia Ulonska Katja Bühler 34 0 0 18 Mar 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lió 41 3 0 12 Mar 2024
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling Dingyuan Zhu Daixin Wang Zhiqiang Zhang Kun Kuang Yan Zhang Yulin Kang Jun Zhou 32 3 0 11 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 32 5 0 06 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 38 8 0 06 Mar 2024
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN SSL 32 2 0 06 Mar 2024
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network Tatyana Benko Martin Buck Ilya Amburg Stephen J. Young Sinan G. Aksoy 29 3 0 15 Feb 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching Yuchen Zhang Tianle Zhang Kai Wang Ziyao Guo Yuxuan Liang Xavier Bresson Wei Jin Yang You 32 23 0 07 Feb 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 23 2 0 28 Jan 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 19 3 0 28 Jan 2024
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection H. Jo Seong-Whan Lee 26 2 0 25 Jan 2024
Truck Parking Usage Prediction with Decomposed Graph Neural Networks Rei Tamaru Yang Cheng Steven T. Parker Ernie Perry Bin Ran S. Ahn 25 0 0 23 Jan 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 29 9 0 22 Jan 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification Yutong Xia Runpeng Yu Yuxuan Liang Xavier Bresson Xinchao Wang Roger Zimmermann 35 4 0 18 Jan 2024
Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction Yu Liu Yuexin Zhang Kunming Li Yongliang Qiao Stewart Worrall Youfu Li He Kong 21 1 0 10 Jan 2024
A Primer on Temporal Graph Learning Aniq Ur Rahman J. Coon AI4CE 28 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 22 0 0 07 Jan 2024
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 19 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 44 3 0 27 Dec 2023
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering Bingheng Li Erlin Pan Zhao Kang 19 30 0 22 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 36 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 28 17 0 18 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 16 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 26 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 25 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 29 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 33 5 0 05 Dec 2023
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks Zhan Gao Amanda Prorok Elvin Isufi 30 1 0 04 Dec 2023