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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
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 57 12 0 19 Feb 2021
Deep Gait Recognition: A Survey Alireza Sepas-Moghaddam Ali Etemad CVBM 110 183 0 18 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 128 361 0 18 Feb 2021
Learning Conjoint Attentions for Graph Neural Nets Tiantian He Yew-Soon Ong Lu Bai GNN 65 55 0 05 Feb 2021
Lookup subnet based Spatial Graph Convolutional neural Network Jingzhao Hu Xiaoqi Zhang Qiaomei Jia Chen Wang Qirong Bu Jun Feng GNN 30 0 0 04 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 98 88 0 31 Jan 2021
Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image Akila Pemasiri Kien Nguyen Thanh Sridha Sridharan Clinton Fookes 3DH 56 4 0 27 Jan 2021
Identity-aware Graph Neural Networks Jiaxuan You Jonathan M. Gomes-Selman Rex Ying J. Leskovec 69 259 0 25 Jan 2021
Edge-Featured Graph Attention Network Jun Chen Hao-peng Chen GNN 68 36 0 19 Jan 2021
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias Stefan Stojanov Anh Thai James M. Rehg 3DPC 71 45 0 18 Jan 2021
Deep Parametric Continuous Convolutional Neural Networks Shenlong Wang Simon Suo Wei-Chiu Ma A. Pokrovsky R. Urtasun 3DPC 92 468 0 17 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting Wenyuan Zeng Ming Liang Renjie Liao R. Urtasun GNN 107 183 0 17 Jan 2021
Learning the Implicit Semantic Representation on Graph-Structured Data Likang Wu Zhi Li Hongke Zhao Qi Liu Jun Wang Mengdi Zhang Enhong Chen GNN 41 18 0 16 Jan 2021
UCNN: A Convolutional Strategy on Unstructured Mesh Mengfei Xu Shufang Song Xuxiang Sun Weiwei Zhang AI4CE 46 4 0 12 Jan 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Xiuming Zhang Junsong Yuan Dacheng Tao GNN 235 97 0 10 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 181 597 0 04 Jan 2021
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany Cornelius Fritz Emilio Dorigatti David Rügamer 55 20 0 03 Jan 2021
Binary Graph Neural Networks Mehdi Bahri Gaétan Bahl Stefanos Zafeiriou GNN AI4CE 78 54 0 31 Dec 2020
Action Recognition with Kernel-based Graph Convolutional Networks H. Sahbi GNN 54 1 0 28 Dec 2020
Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning A. Sagel Amit Sahu Stefan Matthes H. Pfeifer Tianming Qiu Harald Ruess Hao Shen Julian Wormann 53 3 0 21 Dec 2020
Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang Binh Yang Shenlong Wang R. Urtasun 3DPC 271 848 0 20 Dec 2020
A pipeline for fair comparison of graph neural networks in node classification tasks Wentao Zhao Dalin Zhou X. Qiu Wei Jiang 62 5 0 19 Dec 2020
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 115 763 0 17 Dec 2020
Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation Mehdi Bahri Eimear O' Sullivan Shunwang Gong Feng Liu Xiaoming Liu M. Bronstein Stefanos Zafeiriou CVBM 3DH 87 17 0 16 Dec 2020
Temporal Graph Modeling for Skeleton-based Action Recognition Jianan Li Xuemei Xie Zhifu Zhao Yuhan Cao Qingzhe Pan Guangming Shi 71 11 0 16 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 170 126 0 16 Dec 2020
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao R. Urtasun R. Zemel 92 90 0 14 Dec 2020
I-GCN: Robust Graph Convolutional Network via Influence Mechanism Haoxi Zhan Xiaobing Pei GNN AAML 45 1 0 11 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 97 38 0 09 Dec 2020
Rotation-Invariant Point Convolution With Multiple Equivariant Alignments Hugues Thomas 3DPC 47 12 0 07 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 120 21 0 07 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 61 0 0 04 Dec 2020
Graph Convolutional Neural Networks for Body Force Prediction Francis Ogoke Kazem Meidani Amirreza Hashemi A. Farimani GNN AI4CE 46 62 0 03 Dec 2020
DiffusionNet: Discretization Agnostic Learning on Surfaces Nicholas Sharp Souhaib Attaiki Keenan Crane M. Ovsjanikov 3DH 99 211 0 01 Dec 2020
Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics Raghav Kansal Javier Mauricio Duarte B. Orzari T. Tomei M. Pierini M. Touranakou J. Vlimant Dimitrios Gunopoulos GAN 83 24 0 30 Nov 2020
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs Thomas O'Leary-Roseberry Umberto Villa Peng Chen Omar Ghattas 112 70 0 30 Nov 2020
Learning geometry-image representation for 3D point cloud generation Lei Wang Yuchun Huang Pengjie Tao Yaolin Hou Yuxuan Liu 3DPC 39 2 0 29 Nov 2020
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition Zhen Huang Xu Shen Xinmei Tian Houqiang Li Jianqiang Huang Xiansheng Hua GNN 94 59 0 26 Nov 2020
Multi-Features Guidance Network for partial-to-partial point cloud registration Hongyuan Wang Xiang Liu Wen Kang Zhiqiang Yan Bingwen Wang Qianhao Ning 3DPC 43 19 0 24 Nov 2020
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks Zhihua Jin Yong Wang Qianwen Wang Yao Ming Tengfei Ma Huamin Qu HAI 80 34 0 22 Nov 2020
Statistical learning for change point and anomaly detection in graphs A. Malinovskaya Philipp Otto T. Peters 24 1 0 10 Nov 2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport Marvin Eisenberger Aysim Toker Laura Leal-Taixé Daniel Cremers OT 3DPC 115 81 0 28 Oct 2020
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering Shih-Gu Huang M. Chung A. Qiu Alzheimer's Disease Neuroimaging Initiative 36 11 0 26 Oct 2020
Co-embedding of Nodes and Edges with Graph Neural Networks Xiaodong Jiang Ronghang Zhu Pengsheng Ji Sheng Li GNN 75 76 0 25 Oct 2020
Unsupervised Dense Shape Correspondence using Heat Kernels Mehmet Aygün Zorah Lähner Daniel Cremers 82 16 0 23 Oct 2020
Primal-Dual Mesh Convolutional Neural Networks Francesco Milano Antonio Loquercio Antoni Rosinol Davide Scaramuzza Luca Carlone 3DPC AI4CE 103 93 0 23 Oct 2020
Deep Neural Mobile Networking Chaoyun Zhang 74 1 0 23 Oct 2020
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition Negar Heidari Alexandros Iosifidis GNN 96 31 0 23 Oct 2020
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence Hao Huang Lingjing Wang Xiang Li Yi Fang 3DPC 73 0 0 21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 81 13 0 21 Oct 2020