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 / 367 papers shown

Title
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go Marvin Eisenberger David Novotny Gael Kerchenbaum Patrick Labatut Natalia Neverova Daniel Cremers Andrea Vedaldi 3DH 3DPC 15 67 0 17 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 51 235 0 14 Jun 2021
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction Xiaoyu Mo Yang Xing Chen Lv 27 24 0 14 Jun 2021
Graph Neural Networks with Local Graph Parameters Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 24 65 0 12 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 46 505 0 07 Jun 2021
Subdivision-Based Mesh Convolution Networks Shimin Hu Zheng-Ning Liu Meng-Hao Guo Junxiong Cai Jiahui Huang Tai-Jiang Mu Ralph Robert Martin 3DV 24 121 0 04 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 60 1,016 0 30 May 2021
Superpixel-based Knowledge Infusion in Deep Neural Networks for Image Classification Gunjan Chhablani Abheesht Sharma Harshit Pandey T. Dash SupR 27 5 0 20 May 2021
Protein sequence-to-structure learning: Is this the end(-to-end revolution)? É. Laine Stephan Eismann A. Elofsson Sergei Grudinin OOD 3DV 23 34 0 16 May 2021
Q-Match: Iterative Shape Matching via Quantum Annealing Marcel Seelbach Benkner Zorah Lähner Vladislav Golyanik C. Wunderlich Christian Theobalt Michael Moeller 27 34 0 06 May 2021
Learning Feature Aggregation for Deep 3D Morphable Models Zhixiang Chen Tae-Kyun Kim 3DPC 3DH 45 24 0 05 May 2021
HodgeNet: Learning Spectral Geometry on Triangle Meshes Dmitriy Smirnov Justin Solomon 33 25 0 26 Apr 2021
LGD-GCN: Local and Global Disentangled Graph Convolutional Networks Jingwei Guo Kaizhu Huang Xinping Yi Rui Zhang 13 5 0 24 Apr 2021
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery Saba Dadsetan David Pichler David Wilson N. Hovakimyan Jennifer Hobbs 47 6 0 20 Apr 2021
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases Jan Bednarík Vladimir G. Kim S. Chaudhuri Shaifali Parashar Mathieu Salzmann Pascal Fua Noam Aigerman 18 8 0 14 Apr 2021
Field Convolutions for Surface CNNs Thomas W. Mitchel Vladimir G. Kim Michael Kazhdan 29 19 0 08 Apr 2021
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches Benoît Guillard Edoardo Remelli Pierre Yvernay Pascal Fua 3DV 19 77 0 01 Apr 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 29 100 0 10 Mar 2021
Deep Deformation Detail Synthesis for Thin Shell Models Lan Chen Lin Gao Jie Yang Shibiao Xu Juntao Ye Xiaopeng Zhang Yu-Kun Lai 3DH AI4CE 38 11 0 23 Feb 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 21 11 0 19 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 347 0 18 Feb 2021
Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image Akila Pemasiri Kien Nguyen Thanh Sridha Sridharan Clinton Fookes 3DH 33 4 0 27 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting Wenyuan Zeng Ming Liang Renjie Liao R. Urtasun GNN 28 176 0 17 Jan 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Xiuming Zhang Junsong Yuan Dacheng Tao GNN 148 96 0 10 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 97 562 0 04 Jan 2021
Action Recognition with Kernel-based Graph Convolutional Networks H. Sahbi GNN 29 1 0 28 Dec 2020
Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang Binh Yang Shenlong Wang R. Urtasun 3DPC 208 840 0 20 Dec 2020
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 50 720 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 S. Zafeiriou CVBM 3DH 29 16 0 16 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
I-GCN: Robust Graph Convolutional Network via Influence Mechanism Haoxi Zhan Xiaobing Pei GNN AAML 27 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 27 36 0 09 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 28 20 0 07 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 21 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 47 69 0 30 Nov 2020
Learning geometry-image representation for 3D point cloud generation Lei Wang Yuchun Huang Pengjie Tao Yaolin Hou Yuxuan Liu 3DPC 30 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 32 56 0 26 Nov 2020
Primal-Dual Mesh Convolutional Neural Networks Francesco Milano Antonio Loquercio Antoni Rosinol Davide Scaramuzza Luca Carlone 3DPC AI4CE 56 89 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 23 0 0 21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 29 13 0 21 Oct 2020
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration Mahdi Saleh Shervin Dehghani Benjamin Busam Nassir Navab Federico Tombari 3DPC 30 14 0 18 Oct 2020
PointManifold: Using Manifold Learning for Point Cloud Classification Dinghao Yang Wei Gao 3DPC 31 4 0 14 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah AI4CE 36 176 0 05 Oct 2020
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval Rao Fu Jie Yang Jiawei Sun Fang-Lue Zhang Yu-Kun Lai Lin Gao 3DV 3DPC 3DH 34 2 0 02 Oct 2020
Learning Graph Normalization for Graph Neural Networks Yihao Chen Xin Tang Xianbiao Qi Chun-Guang Li Rong Xiao AI4CE 14 50 0 24 Sep 2020
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning Costas Mavromatis George Karypis 27 54 0 15 Sep 2020
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties S. Mahdi N. Nauwelaers P. Joris Giorgos Bouritsas Shunwang Gong ... Susan Walsh M. Shriver M. Bronstein P. Claes . 3DH 29 5 0 10 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 32 158 0 07 Sep 2020
A curvature and density-based generative representation of shapes Zi Ye Nobuyuki Umetani Takeo Igarashi T. Hoffmann 25 5 0 05 Sep 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 25 5 0 26 Aug 2020