Diffusion-Convolutional Neural Networks

6 November 2015

Papers citing "Diffusion-Convolutional Neural Networks"

50 / 499 papers shown

Title
Adversarial Attack on Hierarchical Graph Pooling Neural Networks Haoteng Tang Guixiang Ma Yurong Chen Lei Guo Wei Wang Bo Zeng Liang Zhan AAML 29 28 0 23 May 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 25 693 0 20 May 2020
Visual Relationship Detection using Scene Graphs: A Survey Aniket Agarwal Ayush Mangal Vipul GNN 32 20 0 16 May 2020
Ring Reservoir Neural Networks for Graphs Claudio Gallicchio Alessio Micheli GNN 21 12 0 11 May 2020
Deep Constraint-based Propagation in Graph Neural Networks Matteo Tiezzi G. Marra S. Melacci Marco Maggini AI4CE GNN 19 13 0 05 May 2020
Motion Guided 3D Pose Estimation from Videos Jingbo Wang Sijie Yan Yuanjun Xiong Dahua Lin 3DH 25 180 0 29 Apr 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 30 393 0 23 Apr 2020
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting Tanwi Mallick Prasanna Balaprakash E. Rask Jane Macfarlane GNN AI4TS 16 68 0 17 Apr 2020
MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning Yanyan Liang Yanfeng Zhang Dechao Gao Qian Xu GNN 22 4 0 15 Apr 2020
HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs Chaojie Ji Ruxin Wang Rongxiang Zhu Yunpeng Cai Hongyan Wu 17 3 0 09 Apr 2020
Learning Deep Graph Representations via Convolutional Neural Networks Wei Ye Omid Askarisichani Alex T. Jones Ambuj K. Singh SSL GNN 17 12 0 05 Apr 2020
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition Ziyu Liu Hongwen Zhang Zhenghao Chen Zhiyong Wang Wanli Ouyang 32 818 0 31 Mar 2020
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text Difei Gao Ke Li Ruiping Wang Shiguang Shan Xilin Chen 18 111 0 31 Mar 2020
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification Negar Heidari Alexandros Iosifidis GNN 29 14 0 27 Mar 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks M. Balcilar G. Renton Pierre Héroux Benoit Gaüzère Sébastien Adam P. Honeine 21 61 0 26 Mar 2020
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end A. Nassar Stefano Dáronco Sébastien Lefèvre Jan Dirk Wegner ObjD 22 3 0 23 Mar 2020
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks Chixiang Ma Lei-huan Sun Zhuoyao Zhong Qiang Huo 37 56 0 16 Mar 2020
Universal Function Approximation on Graphs Rickard Brüel-Gabrielsson 32 6 0 14 Mar 2020
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection Kaihua Zhang Tengpeng Li Shiwen Shen Bo Liu Jin Chen Qingshan Liu 32 96 0 13 Mar 2020
Learning Diverse Fashion Collocation by Neural Graph Filtering Xin Liu Yongbin Sun Ziwei Liu Dahua Lin 34 26 0 11 Mar 2020
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video Junfa Liu Juan Rojas Zhijun Liang Yihui Li Yisheng Guang 3DH 20 14 0 11 Mar 2020
Deconfounded Image Captioning: A Causal Retrospect Xu Yang Hanwang Zhang Jianfei Cai CML 18 119 0 09 Mar 2020
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks Fernando Gama Elvin Isufi G. Leus Alejandro Ribeiro GNN 28 150 0 08 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$ -Order Feature Interactions Fuli Feng Xiangnan He Hanwang Zhang Tat-Seng Chua 34 11 0 05 Mar 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 29 45 0 27 Feb 2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes Jilin Hu Jianbing Shen B. Yang Ling Shao BDL GNN 47 17 0 26 Feb 2020
Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention Haoxing Lin Weijia Jia Yongjian You Yiping Sun AI4TS 30 6 0 22 Feb 2020
A Survey on Deep Geometry Learning: From a Representation Perspective Yun-Peng Xiao Yu-Kun Lai Fang-Lue Zhang Chunpeng Li Lin Gao 3DH AI4TS 40 101 0 19 Feb 2020
A Lagrangian Approach to Information Propagation in Graph Neural Networks Matteo Tiezzi G. Marra S. Melacci Marco Maggini Marco Gori GNN 32 9 0 18 Feb 2020
Bilinear Graph Neural Network with Neighbor Interactions Hongmin Zhu Fuli Feng Xiangnan He Xiang Wang Yan Li Kai Zheng Yongdong Zhang 10 3 0 10 Feb 2020
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs Lu Bai Lixin Cui Edwin R. Hancock 33 8 0 08 Feb 2020
Supervised Learning on Relational Databases with Graph Neural Networks Milan Cvitkovic 33 42 0 06 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding Xinyu Fu Jiani Zhang Ziqiao Meng Irwin King 43 846 0 05 Feb 2020
Distance Metric Learning for Graph Structured Data Tomoki Yoshida Ichiro Takeuchi Masayuki Karasuyama 22 12 0 03 Feb 2020
Molecule Property Prediction and Classification with Graph Hypernetworks Eliya Nachmani Lior Wolf GNN 19 15 0 01 Feb 2020
EdgeNets:Edge Varying Graph Neural Networks Elvin Isufi Fernando Gama Alejandro Ribeiro GNN 31 81 0 21 Jan 2020
Graph Inference Learning for Semi-supervised Classification Chunyan Xu Zhen Cui Xiaobin Hong Tong Zhang Jian Yang Wei Liu 24 30 0 17 Jan 2020
Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction Lingbo Liu Jingwen Chen Hefeng Wu Jiajie Zhen Guanbin Li Liang Lin 21 9 0 14 Jan 2020
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting Mingxing Xu Wenrui Dai Chunmiao Liu Xing Gao Weiyao Lin Guo-Jun Qi H. Xiong AI4TS 22 359 0 09 Jan 2020
Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks Zhiyong Dou Haotian Cui Lin Zhang Bo Wang DiffM GNN 18 6 0 05 Jan 2020
Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications Ljubisa Stankovic Danilo P. Mandic M. Daković M. Brajović Bruno Scalzo Shengxi Li A. Constantinides 31 23 0 02 Jan 2020
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling Wenkai Han Chenglu Wen Cheng-Yu Wang Xin Li Qing Li 3DPC 21 93 0 23 Dec 2019
Graph Convolutional Networks: analysis, improvements and results I. Ullah M. Manzo M. Shah Michael G. Madden GNN 27 51 0 19 Dec 2019
CoulGAT: An Experiment on Interpretability of Graph Attention Networks B. Gokden GNN 15 5 0 18 Dec 2019
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks Lei Shi Yifan Zhang Jian Cheng Hanqing Lu 38 420 0 15 Dec 2019
Coloring graph neural networks for node disambiguation George Dasoulas Ludovic Dos Santos Kevin Scaman Aladin Virmaux 41 82 0 12 Dec 2019
Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction Fuyang Zhang Nelson Nauata Yasutaka Furukawa 3DV 31 58 0 04 Dec 2019
Using Laplacian Spectrum as Graph Feature Representation Edouard Pineau 19 5 0 02 Dec 2019
Dynamic Graph Representation for Partially Occluded Biometrics Min Ren Yunlong Wang Zhenan Sun Tieniu Tan CVBM 19 2 0 01 Dec 2019
ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Road Speed Cheonbok Park Chunggi Lee Hyojin Bahng Taeyun Won Kihwan Kim Seungmin Jin Sungahn Ko Jaegul Choo GNN AI4TS 8 33 0 29 Nov 2019