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Geometric deep learning on graphs and manifolds using mixture model CNNs

25 November 2016

Papers citing "Geometric deep learning on graphs and manifolds using mixture model CNNs"

50 / 847 papers shown

Title
Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Lio GNN 86 56 0 29 Jun 2020
Lifelong Learning of Graph Neural Networks for Open-World Node Classification Lukas Galke Benedikt Franke Tobias Zielke A. Scherp GNN AI4CE 90 38 0 25 Jun 2020
Deep Polynomial Neural Networks Grigorios G. Chrysos Stylianos Moschoglou Giorgos Bouritsas Jiankang Deng Yannis Panagakis Stefanos Zafeiriou 87 94 0 20 Jun 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 186 659 0 18 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 218 15 0 18 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 136 440 0 16 Jun 2020
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals Yimin Hou Shuyue Jia Xiangmin Lun Hanrui Yang Yan Shi Yongqian Li Shu Zhang Jinglei Lv 48 118 0 16 Jun 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks Kenta Oono Taiji Suzuki AI4CE 124 32 0 15 Jun 2020
Global Attention Improves Graph Networks Generalization Omri Puny Heli Ben-Hamu Y. Lipman 64 22 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 275 442 0 13 Jun 2020
Sample complexity and effective dimension for regression on manifolds Andrew D. McRae Justin Romberg Mark A. Davenport 106 8 0 13 Jun 2020
Knowledge Embedding Based Graph Convolutional Network Donghan Yu Yiming Yang Ruohong Zhang Yuexin Wu GNN 110 12 0 12 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 159 418 0 11 Jun 2020
G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning Jiawei Zhang 28 2 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 61 13 0 11 Jun 2020
Heuristic Semi-Supervised Learning for Graph Generation Inspired by Electoral College Chen Li Xutan Peng Hao Peng Jianxin Li Lihong Wang Philip S. Yu Lifang He 23 3 0 10 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 257 1,310 0 10 Jun 2020
Lorentz Group Equivariant Neural Network for Particle Physics A. Bogatskiy Brandon M. Anderson Jan T. Offermann M. Roussi David W. Miller Risi Kondor AI4CE 72 141 0 08 Jun 2020
Graph Representation Learning Network via Adaptive Sampling Anderson de Andrade Chen Cecilia Liu GNN 20 0 0 08 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs Ziwei Zhang Peng Cui J. Pei Xin Eric Wang Wenwu Zhu GNN 84 33 0 08 Jun 2020
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels Yi Zhou Chenglei Wu Zimo Li Chen Cao Yuting Ye Jason M. Saragih Hao Li Yaser Sheikh 58 77 0 08 Jun 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling Moshe Eliasof Eran Treister 65 25 0 07 Jun 2020
MeshSDF: Differentiable Iso-Surface Extraction Edoardo Remelli Artem Lukoianov Stephan R. Richter Benoît Guillard Timur M. Bagautdinov Pierre Baqué Pascal Fua 106 153 0 06 Jun 2020
Self-supervised Training of Graph Convolutional Networks Qikui Zhu Bo Du Pingkun Yan SSL GNN 63 45 0 03 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 127 69 0 02 Jun 2020
Permutation Matters: Anisotropic Convolutional Layer for Learning on Point Clouds Zhongpai Gao Guangtao Zhai Junchi Yan Xiaokang Yang 3DPC 31 2 0 27 May 2020
NENET: An Edge Learnable Network for Link Prediction in Scene Text M. Singh Sayan Banerjee S. Chaudhuri 28 1 0 25 May 2020
Unsupervised Geometric Disentanglement for Surfaces via CFAN-VAE N. Joseph Tatro Stefan C. Schonsheck Rongjie Lai CoGe DRL 29 9 0 23 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 152 397 0 22 May 2020
Learning Representations using Spectral-Biased Random Walks on Graphs Charu Sharma Jatin Chauhan Manohar Kaul 24 2 0 19 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 98 291 0 07 May 2020
Deep Constraint-based Propagation in Graph Neural Networks Matteo Tiezzi G. Marra S. Melacci Marco Maggini AI4CE GNN 73 13 0 05 May 2020
RigNet: Neural Rigging for Articulated Characters Zhan Xu Yang Zhou E. Kalogerakis Chris Landreth Karan Singh 3DH 88 53 0 01 May 2020
JointsGait:A model-based Gait Recognition Method based on Gait Graph Convolutional Networks and Joints Relationship Pyramid Mapping Na Li Xinbo Zhao Chong Ma CVBM 86 44 0 27 Apr 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 160 402 0 23 Apr 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes Jihong Wang Minnan Luo Fnu Suya Jundong Li Z. Yang Q. Zheng AAML GNN 87 90 0 22 Apr 2020
Learning Local Neighboring Structure for Robust 3D Shape Representation Zhongpai Gao Junchi Yan Guangtao Zhai Juyong Zhang Yiyan Yang Xiaokang Yang 3DV 55 17 0 21 Apr 2020
Characters as Graphs: Recognizing Online Handwritten Chinese Characters via Spatial Graph Convolutional Network Ji Gan Weiqiang Wang Kelvin Lu GNN 34 1 0 20 Apr 2020
Shape-Oriented Convolution Neural Network for Point Cloud Analysis Chaoyi Zhang Yang Song Lina Yao Weidong (Tom) Cai 3DPC 46 14 0 20 Apr 2020
PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks Wenwen Yu Ning Lu Xianbiao Qi Ping Gong Rong Xiao 79 138 0 16 Apr 2020
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges A. Alliegro Davide Boscaini Tatiana Tommasi 3DPC SSL 77 42 0 15 Apr 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lio Petar Velickovic GNN 181 678 0 12 Apr 2020
Hamiltonian Dynamics for Real-World Shape Interpolation Marvin Eisenberger Daniel Cremers 39 14 0 10 Apr 2020
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution Alexandre Boulch Gilles Puy Renaud Marlet 3DPC 49 2 0 09 Apr 2020
Geometrically Principled Connections in Graph Neural Networks Shunwang Gong Mehdi Bahri M. Bronstein Stefanos Zafeiriou GNN AI4CE 89 21 0 06 Apr 2020
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild Dominik Kulon R. Güler Iasonas Kokkinos M. Bronstein Stefanos Zafeiriou 3DH 53 210 0 04 Apr 2020
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes Jonas Schult Francis Engelmann Theodora Kontogianni Bastian Leibe 3DPC 3DV 62 85 0 02 Apr 2020
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation Karthik Gopinath Christian Desrosiers H. Lombaert OOD 32 11 0 31 Mar 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence Nicolas Donati Abhishek Sharma M. Ovsjanikov AAML 3DPC 132 158 0 31 Mar 2020
PointGMM: a Neural GMM Network for Point Clouds Amir Hertz Rana Hanocka Raja Giryes Daniel Cohen-Or 3DPC 145 65 0 30 Mar 2020