Diffusion-Convolutional Neural Networks

6 November 2015

Papers citing "Diffusion-Convolutional Neural Networks"

50 / 499 papers shown

Title
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu Yibing Zhan Jia Wu Chang Li Bo Du Wenbin Hu Tongliang Liu Dacheng Tao GNN AI4CE 35 80 0 15 Apr 2022
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision Dongkwan Kim Alice Oh SSL GNN 31 254 0 11 Apr 2022
Message Passing Neural Networks for Hypergraphs Sajjad Heydari L. Livi GNN 6 12 0 31 Mar 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 44 30 0 23 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 38 4 0 15 Mar 2022
Simplicial Attention Neural Networks L. Giusti Claudio Battiloro P. Lorenzo S. Sardellitti Sergio Barbarossa 58 32 0 14 Mar 2022
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases Mingxiao Li Yihong Tang Wei-Ying Ma GNN AI4TS 26 9 0 08 Mar 2022
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network Jian Kang Yangchun Zhu Yinglong Xia Jiebo Luo Yangqiu Song FaML 11 45 0 28 Feb 2022
Distribution Preserving Graph Representation Learning Chengsheng Mao Yuan Luo 29 0 0 27 Feb 2022
Graph Attention Retrospective K. Fountoulakis Amit Levi Shenghao Yang Aseem Baranwal Aukosh Jagannath GNN 20 35 0 26 Feb 2022
A Deep Learning Approach for Network-wide Dynamic Traffic Prediction during Hurricane Evacuation Rezaur Rahman Samiul Hasan AI4TS 25 19 0 25 Feb 2022
Deep Graph Learning for Anomalous Citation Detection Jiaying Liu Feng Xia Xu Feng Jing Ren Huan Liu 29 42 0 23 Feb 2022
Exploring Edge Disentanglement for Node Classification Tianxiang Zhao Xiang Zhang Suhang Wang 52 35 0 23 Feb 2022
Data-Driven Traffic Assignment: A Novel Approach for Learning Traffic Flow Patterns Using a Graph Convolutional Neural Network Rezaur Rahman Samiul Hasan GNN 19 23 0 21 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 38 12 0 17 Feb 2022
Conditional Generation Net for Medication Recommendation Rui Wu Zhaopeng Qiu Jiacheng Jiang Guilin Qi Xian Wu 26 85 0 14 Feb 2022
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction Jia-Xuan Bai Jie Guo Chenchen Wang Zhenyu Chen Zhen He Shan Yang Piaopiao Yu Yan Zhang Yanwen Guo 3DV 40 10 0 13 Feb 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning Yingying He Chaojie Wang Hao Zhang Bo Chen Mingyuan Zhou 24 5 0 07 Feb 2022
Laplacian2Mesh: Laplacian-Based Mesh Understanding Qiujie Dong Zixiong Wang Manyi Li Junjie Gao Shuangmin Chen Zhenyu Shu Shiqing Xin Changhe Tu Wenping Wang 35 25 0 01 Feb 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach Xing Ai Zhihong Zhang Luzhe Sun Junchi Yan Edwin R. Hancock GNN 47 11 0 13 Jan 2022
Graph Kernel Neural Networks Luca Cosmo G. Minello Alessandro Bicciato M. Bronstein Emanuele Rodolà Luca Rossi A. Torsello GNN 46 20 0 14 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 15 27 0 14 Dec 2021
SHGNN: Structure-Aware Heterogeneous Graph Neural Network Wentao Xu Yingce Xia Weiqing Liu Jiang Bian Jian Yin Tie-Yan Liu 30 6 0 12 Dec 2021
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 48 27 0 06 Dec 2021
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting Yanjun Qin Yuchen Fang Haiyong Luo Fang Zhao Chenxing Wang AI4TS 89 9 0 04 Dec 2021
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting Yuchen Fang Yanjun Qin Haiyong Luo Fang Zhao Chenxing Wang GNN AI4TS 19 1 0 04 Dec 2021
Sentiment Analysis and Effect of COVID-19 Pandemic using College SubReddit Data Tian Yan F. Liu 24 0 0 30 Nov 2021
Spectral Transform Forms Scalable Transformer Bingxin Zhou Xinliang Liu Yuehua Liu Yunyin Huang Pietro Lio Yuguang Wang 57 6 0 15 Nov 2021
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 25 45 0 14 Nov 2021
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks Pál András Papp Karolis Martinkus Lukas Faber Roger Wattenhofer GNN 28 139 0 11 Nov 2021
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs Truong-Son Hy Risi Kondor 42 1 0 02 Nov 2021
Discovering Supply Chain Links with Augmented Intelligence Achintya Gopal Chun-Han Chang 40 3 0 02 Nov 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization Mucong Ding Kezhi Kong Jingling Li Chen Zhu John P. Dickerson Furong Huang Tom Goldstein GNN MQ 33 48 0 27 Oct 2021
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation Mohsen Yavartanoo Shih-Hsuan Hung Reyhaneh Neshatavar Yue Zhang Kyoung Mu Lee 21 15 0 15 Oct 2021
A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease Qiankun Zuo Baiying Lei Shuqiang Wang Yong Liu Bingchuan Wang Yanyan Shen OOD MedIm 30 8 0 12 Oct 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi Cesare Alippi GNN FAtt AI4CE 35 91 0 11 Oct 2021
Space-Time-Separable Graph Convolutional Network for Pose Forecasting Theodoros Sofianos Alessio Sampieri Luca Franco Fabio Galasso 3DH 46 143 0 09 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 67 178 0 06 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 33 50 0 06 Oct 2021
RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs Anahita Iravanizad E. Medina Martin Stoll GNN 36 1 0 15 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 50 91 0 08 Sep 2021
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning Xinjun Cai Jiaxing Shang Fei Hao Dajiang Liu Linjiang Zheng 36 19 0 07 Sep 2021
Structural Optimization Makes Graph Classification Simpler and Better Junran Wu Jianhao Li Yicheng Pan Ke Xu 24 1 0 05 Sep 2021
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures M. Rahmani Rasoul Shafipour Ping Li FedML 33 1 0 16 Aug 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering Jeongwhan Choi Jinsung Jeon Noseong Park 32 30 0 08 Aug 2021
MAF-GNN: Multi-adaptive Spatiotemporal-flow Graph Neural Network for Traffic Speed Forecasting Y. Xu Weitang Liu Zhongyi Jiang Zixuan Xu Tingyun Mao Lili Chen Mingwei Zhou AI4TS 27 5 0 08 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 35 11 0 03 Aug 2021
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks Andrea Cini Ivan Marisca Cesare Alippi AI4TS AI4CE 36 103 0 31 Jul 2021
Spatio-temporal graph neural networks for multi-site PV power forecasting J. Simeunović B. Schubnel P. Alet R. Carrillo AI4TS 16 124 0 29 Jul 2021
Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow Yuxin He Lishuai Li Xinting Zhu K. Tsui AI4TS 31 53 0 28 Jul 2021