Diffusion-Convolutional Neural Networks

6 November 2015

Papers citing "Diffusion-Convolutional Neural Networks"

50 / 499 papers shown

Title
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 55 18 0 21 Jul 2021
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction Qiankun Zuo Baiying Lei Yanyan Shen Yong Liu Z. Feng Shuqiang Wang 25 47 0 21 Jul 2021
Conditional Directed Graph Convolution for 3D Human Pose Estimation Wenbo Hu Changgong Zhang Fangneng Zhan Lei Zhang T. Wong 3DH 33 107 0 16 Jul 2021
STR-GODEs: Spatial-Temporal-Ridership Graph ODEs for Metro Ridership Prediction Chu-Chih Huang AI4TS 17 2 0 11 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN 24 31 0 10 Jul 2021
Edge Representation Learning with Hypergraphs Jaehyeong Jo Jinheon Baek Seul Lee Dongki Kim Minki Kang Sung Ju Hwang 24 64 0 30 Jun 2021
Weisfeiler and Lehman Go Cellular: CW Networks Cristian Bodnar Fabrizio Frasca N. Otter Yu Guang Wang Pietro Lio Guido Montúfar M. Bronstein GNN 33 227 0 23 Jun 2021
Learnt Sparsification for Interpretable Graph Neural Networks Mandeep Rathee Zijian Zhang Thorben Funke Megha Khosla Avishek Anand 30 3 0 23 Jun 2021
Continuous-Depth Neural Models for Dynamic Graph Prediction Michael Poli Stefano Massaroli Clayton M. Rabideau Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 11 8 0 22 Jun 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 56 254 0 21 Jun 2021
MHNF: Multi-hop Heterogeneous Neighborhood information Fusion graph representation learning Yundong Sun Dongjie Zhu Haiwen Du Zhaoshuo Tian 21 19 0 17 Jun 2021
Simple Graph Convolutional Networks Luca Pasa Nicoló Navarin W. Erb A. Sperduti FAtt GNN 22 4 0 10 Jun 2021
How effective are Graph Neural Networks in Fraud Detection for Network Data? Ronald D. R. Pereira Fabrício Murai GNN 28 7 0 30 May 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 60 1,027 0 30 May 2021
Adaptive Filters in Graph Convolutional Neural Networks Andrea Apicella Francesco Isgrò A. Pollastro R. Prevete GNN 27 16 0 21 May 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications Tangjun Wang Zehao Dou Chenglong Bao Zuoqiang Shi DiffM 24 7 0 07 May 2021
VersaGNN: a Versatile accelerator for Graph neural networks Feng Shi Yiqiao Jin Song-Chun Zhu GNN 58 17 0 04 May 2021
Graph Pooling via Coarsened Graph Infomax Yunsheng Pang Yunxiang Zhao Dongsheng Li GNN 39 41 0 04 May 2021
Graph Learning: A Survey Feng Xia Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 34 345 0 03 May 2021
Communication Topology Co-Design in Graph Recurrent Neural Network Based Distributed Control Feng Yang Nikolai Matni 28 14 0 28 Apr 2021
Graph Neural Networks for Traffic Forecasting João Rico J. Barateiro Arlindo L. Oliveira AI4TS AI4CE 24 12 0 27 Apr 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 64 60 0 26 Apr 2021
HodgeNet: Learning Spectral Geometry on Triangle Meshes Dmitriy Smirnov Justin Solomon 38 25 0 26 Apr 2021
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery Saba Dadsetan David Pichler David Wilson N. Hovakimyan Jennifer Hobbs 47 6 0 20 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC Rohitash Chandra A. Bhagat Manavendra Maharana P. Krivitsky GNN BDL 31 16 0 17 Apr 2021
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks Jianxin Li Hao Peng Dongyuan Li Yingtong Dou Hekai Zhang Philip S. Yu Lifang He 32 80 0 16 Apr 2021
Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction Yingfang Yuan Wenjun Wang Wei Pang 16 7 0 13 Apr 2021
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 35 0 0 12 Apr 2021
Applications of physics-informed scientific machine learning in subsurface science: A survey A. Sun H. Yoon C. Shih Zhi Zhong AI4CE 29 10 0 10 Apr 2021
Pyramidal Reservoir Graph Neural Network F. Bianchi Claudio Gallicchio Alessio Micheli GNN 25 13 0 10 Apr 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 24 140 0 27 Mar 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 36 17 0 24 Mar 2021
Health Status Prediction with Local-Global Heterogeneous Behavior Graph Xuan Ma Xiaoshan Yang Junyuan Gao Changsheng Xu 25 2 0 23 Mar 2021
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 19 318 0 16 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 29 100 0 10 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 42 108 0 08 Mar 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks Cristian Bodnar Fabrizio Frasca Yu Guang Wang N. Otter Guido Montúfar Pietro Lio M. Bronstein 48 249 0 04 Mar 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 36 173 0 23 Feb 2021
MagNet: A Neural Network for Directed Graphs Xitong Zhang Yixuan He Nathan Brugnone Michael Perlmutter M. Hirn 21 125 0 22 Feb 2021
Learning Conjoint Attentions for Graph Neural Nets Tiantian He Yew-Soon Ong Lu Bai GNN 28 52 0 05 Feb 2021
Graph Neural Network for Traffic Forecasting: A Survey Weiwei Jiang Jiayun Luo GNN AI4TS AI4CE 45 844 0 27 Jan 2021
A Review of Graph Neural Networks and Their Applications in Power Systems Wenlong Liao B. Bak‐Jensen J. Pillai Yuelong Wang Yusen Wang GNN AI4CE 35 213 0 25 Jan 2021
Label Contrastive Coding based Graph Neural Network for Graph Classification Yuxiang Ren Jiyang Bai Jiawei Zhang 46 26 0 14 Jan 2021
UCNN: A Convolutional Strategy on Unstructured Mesh Mengfei Xu Shufang Song Xuxiang Sun Weiwei Zhang AI4CE 15 3 0 12 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification Tian Xie Bin Wang C.-C. Jay Kuo 30 36 0 07 Jan 2021
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting Haitao Lin Zhangyang Gao Yongjie Xu Lirong Wu Ling Li Stan. Z. Li AI4TS 135 73 0 04 Jan 2021
Bosonic Random Walk Networks for Graph Learning Shiv Shankar Don Towsley GNN AI4CE 14 2 0 31 Dec 2020
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 23 12 0 30 Dec 2020
LookHops: light multi-order convolution and pooling for graph classification Zhangyang Gao Haitao Lin Stan. Z Li 32 6 0 28 Dec 2020
Action Recognition with Kernel-based Graph Convolutional Networks H. Sahbi GNN 29 1 0 28 Dec 2020