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
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency Yongan Zhang Haoran You Yonggan Fu Tong Geng Ang Li Yingyan Lin GNN 26 28 0 18 Sep 2021
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems Jiayang Xu Aniruddhe Pradhan Karthikeyan Duraisamy AI4CE 29 28 0 15 Sep 2021
Dynamic Attentive Graph Learning for Image Restoration Chong Mou Jian Zhang Zhuoyuan Wu DiffM 71 81 0 14 Sep 2021
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network Naina Dhingra G. Chogovadze A. Kunz 41 6 0 11 Sep 2021
Differentiable Convolution Search for Point Cloud Processing Xing Nie Yongcheng Liu Shaohong Chen Jianlong Chang Chunlei Huo Gaofeng Meng Qi Tian Weiming Hu Chunhong Pan 3DPC 39 6 0 29 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 32 63 0 24 Aug 2021
Adaptive Graph Convolution for Point Cloud Analysis Hao Zhou Yidan Feng Mingsheng Fang Mingqiang Wei J. Qin Tong Lu 3DPC 45 135 0 18 Aug 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
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks Yuefan Shen Hongbo Fu Zhongshuo Du Xiang Chen Evgeny Burnaev Denis Zorin Kun Zhou Youyi Zheng AI4CE 42 38 0 11 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 44 123 0 04 Aug 2021
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation Zeyu Hu Xuyang Bai Jiaxiang Shang Runze Zhang Jiayu Dong Xin Eric Wang Guangyuan Sun Hongbo Fu Chiew-Lan Tai 3DPC 29 6 0 29 Jul 2021
Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net) Yao Hu Guohua Geng Kang Li Wei Zhou Xingxing Hao Xin Cao 34 2 0 28 Jul 2021
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers K. Choromanski Han Lin Haoxian Chen Tianyi Zhang Arijit Sehanobish Valerii Likhosherstov Jack Parker-Holder Tamás Sarlós Adrian Weller Thomas Weingarten 35 33 0 16 Jul 2021
Scalable Surface Reconstruction with Delaunay-Graph Neural Networks Raphael Sulzer Loic Landrieu Renaud Marlet Bruno Vallet 3DV 54 10 0 13 Jul 2021
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling Qingyong Hu Bo Yang Linhai Xie Stefano Rosa Yulan Guo Zhihua Wang Niki Trigoni Andrew Markham 3DPC 30 178 0 06 Jul 2021
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks Amirhossein Nouranizadeh Mohammadjavad Matinkia Mohammad Rahmati Reza Safabakhsh 27 20 0 03 Jul 2021
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping Islem Mhiri Ahmed Nebli Mohamed Ali Mahjoub I. Rekik 29 10 0 30 Jun 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
Learning without Forgetting for 3D Point Cloud Objects T. Chowdhury Mahira Jalisha A. Cheraghian Shafin Rahman 3DPC 42 9 0 27 Jun 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 33 39 0 22 Jun 2021
EdgeConv with Attention Module for Monocular Depth Estimation Minhyeok Lee Sangwon Hwang Chaewon Park Sangyoun Lee MDE 3DPC 18 17 0 16 Jun 2021
Survey of Image Based Graph Neural Networks U. Nazir He Wang M. Taj GNN 24 6 0 11 Jun 2021
Simple Graph Convolutional Networks Luca Pasa Nicoló Navarin W. Erb A. Sperduti FAtt GNN 22 4 0 10 Jun 2021
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline Ankit Goyal Hei Law Bowei Liu Alejandro Newell Jia Deng 3DPC 47 229 0 09 Jun 2021
Graph Neural Networks in Network Neuroscience Alaa Bessadok Mohamed Ali Mahjoub I. Rekik GNN 37 170 0 07 Jun 2021
On Local Aggregation in Heterophilic Graphs Hesham Mostafa Marcel Nassar Somdeb Majumdar 18 4 0 06 Jun 2021
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction Abhishek Nadgeri Anson Bastos Kuldeep Singh I. Mulang' Johannes Hoffart Saeedeh Shekarpour V. Saraswat SLR 28 33 0 01 Jun 2021
MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation Amir Barda Yotam Erel Amit H. Bermano 3DV 26 2 0 27 May 2021
Adaptive Filters in Graph Convolutional Neural Networks Andrea Apicella Francesco Isgrò A. Pollastro R. Prevete GNN 27 16 0 21 May 2021
GCN-MIF: Graph Convolutional Network with Multi-Information Fusion for Low-dose CT Denoising Kecheng Chen Jiayu Sun Jiang Shen Jixiang Luo Xinyu Zhang ... Dongsheng Wu Yue Zhao Miguel Bento Yazhou Ren X. Pu 34 2 0 15 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs Christopher Morris Matthias Fey Nils M. Kriege GNN 34 23 0 12 May 2021
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds Guiyu Tian Wenhao Jiang Wei Liu Yadong Mu 3DPC AAML 25 13 0 11 May 2021
Deep Convolution for Irregularly Sampled Temporal Point Clouds Erich Merrill Stefan Lee Li Fuxin Thomas G. Dietterich Alan Fern 3DPC 34 1 0 01 May 2021
Point Cloud Learning with Transformer Xian-Feng Han Yuming Kuang ViT 48 33 0 28 Apr 2021
Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation Xian-Feng Han Z. He Jia Chen Guoqiang Xiao 3DPC 46 3 0 27 Apr 2021
Dual Transformer for Point Cloud Analysis Xian-Feng Han Yi-Fei Jin Hui Cheng Guoqiang Xiao ViT 48 73 0 27 Apr 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim Peter Y. Lu Charlotte Loh Jamie Smith Jasper Snoek M. Soljavcić BDL AI4CE 201 17 0 23 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC Rohitash Chandra A. Bhagat Manavendra Maharana P. Krivitsky GNN BDL 40 16 0 17 Apr 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network Jindou Dai Yuwei Wu Zhi Gao Yunde Jia 39 77 0 14 Apr 2021
Smart Vectorizations for Single and Multiparameter Persistence Baris Coskunuzer Cüneyt Gürcan Akçora I. Segovia-Dominguez Zhiwei Zhen Murat Kantarcioglu Yulia R. Gel 25 2 0 10 Apr 2021
FatNet: A Feature-attentive Network for 3D Point Cloud Processing Chaitanya Kaul Nick E. Pears S. Manandhar 3DPC 39 25 0 07 Apr 2021
Potential Convolution: Embedding Point Clouds into Potential Fields Dengsheng Chen Haowen Deng Jun Li Duo Li Yao Duan Kai Xu 3DPC 26 0 0 05 Apr 2021
MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations I. Rekik Mustafa Burak Gurbuz 26 23 0 04 Apr 2021
PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information Linchao He Mengting Luo Dejun Zhang Xiao Yang Hu Chen Yi Zhang 3DPC 18 0 0 31 Mar 2021
Denoise and Contrast for Category Agnostic Shape Completion A. Alliegro D. Valsesia Giulia Fracastoro E. Magli Tatiana Tommasi 3DPC 27 34 0 30 Mar 2021
PointBA: Towards Backdoor Attacks in 3D Point Cloud Xinke Li Zhirui Chen Yue Zhao Zekun Tong Yabang Zhao A. Lim Qiufeng Wang 3DPC AAML 60 51 0 30 Mar 2021
RAN-GNNs: breaking the capacity limits of graph neural networks D. Valsesia Giulia Fracastoro E. Magli GNN 38 7 0 29 Mar 2021
Picasso: A CUDA-based Library for Deep Learning over 3D Meshes Huan Lei Naveed Akhtar Ajmal Mian 22 15 0 28 Mar 2021
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds Mutian Xu Runyu Ding Hengshuang Zhao Xiaojuan Qi 3DPC 27 394 0 26 Mar 2021
Dual Mesh Convolutional Networks for Human Shape Correspondence Nitika Verma A. Boukhayma Jakob Verbeek Edmond Boyer 3DH 24 5 0 23 Mar 2021