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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
Discovering Supply Chain Links with Augmented Intelligence Achintya Gopal Chun-Han Chang 61 3 0 02 Nov 2021
Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow Haitz Sáez de Ocáriz Borde David Sondak P. Protopapas AI4CE 38 3 0 30 Oct 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 104 32 0 28 Oct 2021
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations Simon Giebenhain Bastian Goldlücke 3DPC 70 15 0 22 Oct 2021
DPFM: Deep Partial Functional Maps Souhaib Attaiki Gautam Pai M. Ovsjanikov 93 62 0 19 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs B. Chamberlain J. Rowbottom D. Eynard Francesco Di Giovanni Xiaowen Dong M. Bronstein AI4CE 88 86 0 18 Oct 2021
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Sara Hahner Jochen Garcke AI4CE 83 17 0 18 Oct 2021
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective Hengrui Zhang Zhongming Yu Guohao Dai Guyue Huang Yufei Ding Yuan Xie Yu Wang GNN 64 47 0 18 Oct 2021
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction Itai Lang Dvir Ginzburg S. Avidan D. Raviv 3DPC 91 33 0 16 Oct 2021
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation Mohsen Yavartanoo Shih-Hsuan Hung Reyhaneh Neshatavar Yue Zhang Kyoung Mu Lee 79 17 0 15 Oct 2021
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 297 331 0 15 Oct 2021
SoGCN: Second-Order Graph Convolutional Networks Peihao Wang Yuehao Wang Hua Lin Jianbo Shi 87 3 0 14 Oct 2021
Continuous Conditional Random Field Convolution for Point Cloud Segmentation Fei Yang Franck Davoine Huan Wang Zhong Jin 3DV 3DPC 94 34 0 12 Oct 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi Cesare Alippi GNN FAtt AI4CE 459 95 0 11 Oct 2021
BuildingNet: Learning to Label 3D Buildings Pratheba Selvaraju Mohamed Nabail Marios Loizou Maria I. Maslioukova Melinos Averkiou Andreas C. Andreou S. Chaudhuri E. Kalogerakis 3DV 3DPC AI4CE 73 40 0 11 Oct 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 79 9 0 10 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao Wei Jin Leman Akoglu Neil Shah GNN 144 165 0 07 Oct 2021
Learning Canonical Embedding for Non-rigid Shape Matching Abhishek Sharma M. Ovsjanikov 3DV 79 1 0 06 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 206 79 0 01 Oct 2021
DEBOSH: Deep Bayesian Shape Optimization Nikita Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 105 15 0 28 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 112 42 0 27 Sep 2021
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin Qingzhong Wang Siyu Huang Haoyi Xiong Xiang Zhang 112 155 0 21 Sep 2021
Graph Neural Networks for Graph Drawing Matteo Tiezzi Gabriele Ciravegna Marco Gori 87 21 0 21 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 130 94 0 08 Sep 2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning Yujin Tang David R Ha 104 77 0 07 Sep 2021
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data Mohammed Amine Gharsallaoui I. Rekik OOD 28 1 0 06 Sep 2021
Edge-featured Graph Neural Architecture Search Shaofei Cai Liang Li Xinzhe Han Zhengjun Zha Qingming Huang 54 7 0 03 Sep 2021
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting Zonghan Wu Da Zheng Shirui Pan Quan Gan Guodong Long George Karypis AI4TS 75 34 0 25 Aug 2021
GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations Y. Kumar S. Chakraborty 69 8 0 24 Aug 2021
Deep Virtual Markers for Articulated 3D Shapes Hyomin Kim Jungeon Kim Jaewon Kam Jaesik Park Seungyong Lee 3DPC 3DV 56 8 0 20 Aug 2021
3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces Mohsen Yavartanoo Jaeyoung Chung Reyhaneh Neshatavar Kyoung Mu Lee 3DV 129 15 0 19 Aug 2021
Adaptive Graph Convolution for Point Cloud Analysis Hao Zhou Yidan Feng Mingsheng Fang Mingqiang Wei J. Qin Tong Lu 3DPC 103 142 0 18 Aug 2021
U-mesh: Human Correspondence Matching with Mesh Convolutional Networks B. Groisser A. Wolf Ron Kimmel 3DH 55 0 0 15 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 81 38 0 11 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 70 45 0 09 Aug 2021
Development of Human Motion Prediction Strategy using Inception Residual Block Shekhar Gupta G. Yadav G. C. Nandi 3DH 63 3 0 09 Aug 2021
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices R. Rosu Peer Schütt Jan Quenzel Sven Behnke 3DPC 77 32 0 09 Aug 2021
OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution Eric N. D. Nguyen Tu Bui Vishy Swaminathan John Collomosse 72 15 0 07 Aug 2021
Enterprise Analytics using Graph Database and Graph-based Deep Learning Shagufta Henna Shyam Krishnan Kalliadan GNN 31 2 0 05 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 102 131 0 04 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 106 13 0 03 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 97 7 0 29 Jul 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 142 308 0 26 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 160 21 0 21 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN 71 31 0 10 Jul 2021
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks Shota Hattori Tatsuya Yatagawa Y. Ohtake Hiromasa Suzuki AI4CE 29 6 0 02 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 93 18 0 30 Jun 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 65 50 0 30 Jun 2021
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 87 82 0 29 Jun 2021
Weisfeiler and Lehman Go Cellular: CW Networks Cristian Bodnar Fabrizio Frasca N. Otter Yu Guang Wang Pietro Lio Guido Montúfar M. Bronstein GNN 139 238 0 23 Jun 2021