Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

30 June 2016

Papers citing "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering"

50 / 1,101 papers shown

Title
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 36 256 0 06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 68 4,235 0 06 Mar 2019
3D Hand Shape and Pose Estimation from a Single RGB Image Liuhao Ge Zhou Ren Yuncheng Li Zehao Xue Yingying Wang Jianfei Cai Junsong Yuan 3DH 21 433 0 03 Mar 2019
Attacking Graph-based Classification via Manipulating the Graph Structure Binghui Wang Neil Zhenqiang Gong AAML 28 152 0 01 Mar 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 24 24 0 28 Feb 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels Ke Sun Zhouchen Lin Zhanxing Zhu SSL 39 272 0 28 Feb 2019
Octree guided CNN with Spherical Kernels for 3D Point Clouds Huan Lei Naveed Akhtar Ajmal Mian 3DPC 17 141 0 28 Feb 2019
Learning to Generate Questions by Learning What not to Generate Bang Liu Mingjun Zhao Di Niu Kunfeng Lai Yancheng He Haojie Wei Yu-Syuan Xu OOD 17 102 0 27 Feb 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs A. Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura H. Kanezashi Tim Kaler Tao B. Schardl Charles E. Leisersen GNN 52 1,040 0 26 Feb 2019
Learning Vertex Convolutional Networks for Graph Classification Lu Bai Lixin Cui Shu Wu Yuhang Jiao Edwin R. Hancock GNN 19 1 0 26 Feb 2019
Disentangled Representation Learning for 3D Face Shape Zi-Hang Jiang Qianyi Wu Keyu Chen Juyong Zhang DRL 3DH CoGe CVBM 18 108 0 26 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 28 62 0 25 Feb 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 29 36 0 23 Feb 2019
Learning representations of irregular particle-detector geometry with distance-weighted graph networks S. Qasim J. Kieseler Y. Iiyama M. Pierini 35 135 0 21 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 34 218 0 20 Feb 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 87 1,852 0 19 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 47 3,109 0 19 Feb 2019
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling Angelo Porrello Davide Abati Simone Calderara Rita Cucchiara 24 11 0 13 Feb 2019
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals C. Jiang Dana Lynn Ona Lansigan P. Marcus Matthias Nießner 11 11 0 30 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 29 1 0 24 Jan 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Shikhar Vashishth Prateek Yadav Manik Bhandari Partha P. Talukdar GNN 33 40 0 24 Jan 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 38 3,616 0 16 Jan 2019
Human Pose Estimation with Spatial Contextual Information Hong Zhang Hao Ouyang Shu Liu Xiaojuan Qi Xiaoyong Shen Ruigang Yang Jiaya Jia 3DH 33 83 0 07 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 25 227 0 06 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 25 387 0 05 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 163 8,362 0 03 Jan 2019
Surface Networks via General Covers Niv Haim Nimrod Segol Heli Ben-Hamu Haggai Maron Y. Lipman 3DPC 22 49 0 27 Dec 2018
Self-Attention Equipped Graph Convolutions for Disease Prediction Anees Kazi S. Krishna Shayan Shekarforoush K. Kortuem Shadi Albarqouni Nassir Navab MedIm 11 37 0 24 Dec 2018
Dynamic Graph Representation Learning via Self-Attention Networks Aravind Sankar Yanhong Wu Liang Gou Wei Zhang Hao Yang GNN 22 119 0 22 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,400 0 20 Dec 2018
3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN G. Pan Jun Wang R. Ying Peilin Liu 3DPC 9 16 0 15 Dec 2018
Learning Features of Network Structures Using Graphlets Kun Tu Jian Li Don Towsley Dave Braines Liam D. Turner GNN 18 2 0 13 Dec 2018
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information Shikhar Vashishth Rishabh Joshi Sai Suman Prayaga Chiranjib Bhattacharyya Partha P. Talukdar 19 229 0 11 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 54 1,321 0 11 Dec 2018
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation Zhiyu Sun Ethan Rooke Jerome Charton Yusen He Jia Lu Stephen Seung-Yeob Baek 29 21 0 03 Dec 2018
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 33 224 0 03 Dec 2018
A Pixel-Based Framework for Data-Driven Clothing Ning Jin Yilin Zhu Z. Geng Ronald Fedkiw 3DH 37 63 0 03 Dec 2018
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression Xiang Gao Wei Hu Jiaxiang Tang Jiaying Liu Zongming Guo 3DH GNN 27 23 0 29 Nov 2018
A Graph-CNN for 3D Point Cloud Classification Yingxue Zhang Michael G. Rabbat 3DPC 118 158 0 28 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark J. Coates Deniz Üstebay GNN BDL 21 227 0 27 Nov 2018
Graph Learning-Convolutional Networks Bo Jiang Ziyan Zhang Doudou Lin Jin Tang GNN SSL 33 5 0 25 Nov 2018
Adversarial Classifier for Imbalanced Problems Ehsan Montahaei Mahsa Ghorbani M. Baghshah Hamid R. Rabiee 18 12 0 21 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lió GNN 41 257 0 03 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 26 169 0 29 Oct 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 33 78 0 25 Oct 2018
Convolutional Set Matching for Graph Similarity Yunsheng Bai Haoyang Ding Yizhou Sun Wei Wang GNN 21 38 0 23 Oct 2018
$Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks$ Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks Max Schwarzer Bryce Rogan Yadong Ruan Zhengming Song Diana Lee ... V. Chau B. Moore E. Rougier Hari S. Viswanathan G. Srinivasan AI4CE 10 70 0 14 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 79 1,654 0 14 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 97 1,606 0 04 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 20 636 0 03 Oct 2018