Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

10 April 2017

Papers citing "Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs"

50 / 518 papers shown

Title
2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification Albert Mosella-Montoro Javier Ruiz-Hidalgo 3DPC MDE 33 25 0 23 Sep 2020
Biomedical Event Extraction with Hierarchical Knowledge Graphs Kung-Hsiang Huang Mu Yang Nanyun Peng 25 29 0 20 Sep 2020
Deep Learning for 3D Point Cloud Understanding: A Survey Haoming Lu Humphrey Shi 3DPC 23 32 0 18 Sep 2020
A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation Dongrui Liu Chuanchuan Chen Changqing Xu Qi Cai Lei Chu F. Wen Robert C. Qiu 3DPC 22 15 0 15 Sep 2020
GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge Aggregation Siyue Xie Yiming Li D. Tam Xiaxin Liu Qiufang Ying Wing Cheong Lau D. Chiu Shou Zhi Chen 29 1 0 11 Sep 2020
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties S. Mahdi N. Nauwelaers P. Joris Giorgos Bouritsas Shunwang Gong ... Susan Walsh M. Shriver M. Bronstein P. Claes . 3DH 40 5 0 10 Sep 2020
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization T. Do Duc Minh Nguyen Giannis Bekoulis Adrian Munteanu Nikos Deligiannis 19 36 0 28 Aug 2020
Orderly Disorder in Point Cloud Domain Morteza Ghahremani Bernard Paul Tiddeman Yonghuai Liu Ardhendu Behera 3DPC 24 7 0 21 Aug 2020
Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation Yu Feng Boyuan Tian Tiancheng Xu P. Whatmough Yuhao Zhu 3DPC 37 58 0 16 Aug 2020
PAM:Point-wise Attention Module for 6D Object Pose Estimation Myoungha Song Jeongho Lee Donghwan Kim 3DPC 34 3 0 12 Aug 2020
Dynamic Emotion Modeling with Learnable Graphs and Graph Inception Network A. Shirian S. Tripathi T. Guha 28 7 0 06 Aug 2020
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications Wei Hu Jiahao Pang Xianming Liu Dong Tian Chia-Wen Lin A. Vetro 36 62 0 05 Aug 2020
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks Kirill Mazur Victor Lempitsky 3DPC 53 39 0 22 Jul 2020
Second-Order Pooling for Graph Neural Networks Zhengyang Wang Shuiwang Ji GNN 24 81 0 20 Jul 2020
Robust Hierarchical Graph Classification with Subgraph Attention S. Bandyopadhyay Manasvi Aggarwal M. Murty GNN 20 3 0 19 Jul 2020
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization Juan Du Rui Wang Daniel Cremers 3DPC 32 98 0 17 Jul 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 60 797 0 16 Jul 2020
Natural Graph Networks P. D. Haan Taco S. Cohen Max Welling GNN 26 44 0 16 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 63 18 0 13 Jul 2020
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification Jiajun Zhou Jie Shen Shanqing Yu Guanrong Chen Qi Xuan 25 23 0 11 Jul 2020
Progressive Point Cloud Deconvolution Generation Network Le Hui Rui Xu Jin Xie J. Qian Jian Yang 3DPC 27 72 0 10 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 38 85 0 09 Jul 2020
Learning Graph-Convolutional Representations for Point Cloud Denoising Francesca Pistilli Giulia Fracastoro D. Valsesia E. Magli 3DPC 27 76 0 06 Jul 2020
Learning Color Compatibility in Fashion Outfits Heming Zhang Xuewen Yang Jianchao Tan Chi-Hao Wu Jue Wang C.-C. Jay Kuo 32 12 0 05 Jul 2020
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network Hao Xu Ka-Hei Hui Chi-Wing Fu Hao Zhang SSL 34 4 0 05 Jul 2020
Cross-Scale Internal Graph Neural Network for Image Super-Resolution Shangchen Zhou Jiawei Zhang W. Zuo Chen Change Loy SupR 27 210 0 30 Jun 2020
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization Jingang Tan Lili Chen Kangru Wang Jingquan Peng Jiamao Li Xiaolin Zhang 16 8 0 25 Jun 2020
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks Arijit Sehanobish N. Ravindra David van Dijk SSL 20 16 0 23 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola Cesare Alippi GNN 28 156 0 22 Jun 2020
TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning Yecheng Lyu Ming Li Xinming Huang Ulkuhan Guler Patrick Schaumont Ziming Zhang GNN 15 10 0 21 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 63 428 0 16 Jun 2020
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors Ziyu Zhao Meng Jiang Munira Syed Oliver Conway Vishal Juneja Sriram Subramanian Nitesh Chawla AI4TS 19 38 0 11 Jun 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 28 13 0 11 Jun 2020
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization S. Bandyopadhyay Manasvi Aggarwal M. Murty SSL 17 6 0 08 Jun 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling Moshe Eliasof Eran Treister 22 25 0 07 Jun 2020
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds Qingdong He Zhengning Wang Hao Zeng Yi Zeng Shuaicheng Liu 3DPC 18 102 0 07 Jun 2020
SimPool: Towards Topology Based Graph Pooling with Structural Similarity Features Yaniv Shulman 16 0 0 03 Jun 2020
Permutation Matters: Anisotropic Convolutional Layer for Learning on Point Clouds Zhongpai Gao Guangtao Zhai Junchi Yan Xiaokang Yang 3DPC 27 2 0 27 May 2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review Ying Li Lingfei Ma Zilong Zhong Fei Liu Dongpu Cao Jonathan Li M. Chapman 3DPC 44 398 0 20 May 2020
How hard is to distinguish graphs with graph neural networks? Andreas Loukas GNN 39 6 0 13 May 2020
Ring Reservoir Neural Networks for Graphs Claudio Gallicchio Alessio Micheli GNN 21 12 0 11 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 95 2,672 0 02 May 2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening A. Chakravarty Tandra Sarkar N. Ghosh Ramanathan Sethuraman Debdoot Sheet 25 12 0 24 Apr 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 35 394 0 23 Apr 2020
Shape-Oriented Convolution Neural Network for Point Cloud Analysis Chaoyi Zhang Yang Song Lina Yao Weidong (Tom) Cai 3DPC 22 14 0 20 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
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks Yu Chen Lingfei Wu Mohammed J Zaki 32 49 0 13 Apr 2020
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review Yaodong Cui Ren‐Hao Chen Wenbo Chu Long Chen Daxin Tian Ying Li Dongpu Cao 3DPC 37 388 0 10 Apr 2020
MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation Yang Zheng I. Izzat S. Song 3DPC 33 0 0 05 Apr 2020
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes Jonas Schult Francis Engelmann Theodora Kontogianni Bastian Leibe 3DPC 3DV 28 84 0 02 Apr 2020