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 / 284 papers shown

Title
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 30 7 0 10 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao Wei Jin L. Akoglu Neil Shah GNN 22 160 0 07 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 122 78 0 01 Oct 2021
DEBOSH: Deep Bayesian Shape Optimization N. Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 29 15 0 28 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Mingli Song Dacheng Tao 16 38 0 27 Sep 2021
Graph Neural Networks for Graph Drawing Matteo Tiezzi Gabriele Ciravegna Marco Gori 21 20 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 34 91 0 08 Sep 2021
Adaptive Graph Convolution for Point Cloud Analysis Hao Zhou Yidan Feng Mingsheng Fang Mingqiang Wei J. Qin Tong Lu 3DPC 34 134 0 18 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 29 38 0 11 Aug 2021
Development of Human Motion Prediction Strategy using Inception Residual Block Shekhar Gupta G. Yadav G. C. Nandi 3DH 19 3 0 09 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 25 11 0 03 Aug 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 30 286 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 36 18 0 21 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 41 17 0 30 Jun 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 13 49 0 30 Jun 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 20 39 0 22 Jun 2021
Particle Cloud Generation with Message Passing Generative Adversarial Networks Raghav Kansal Javier Mauricio Duarte Haoran Su B. Orzari T. Tomei M. Pierini M. Touranakou J. Vlimant Dimitrios Gunopulos 13 75 0 22 Jun 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 22 253 0 21 Jun 2021
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining Oriel Frigo Rémy Brossard David Dehaene 32 1 0 18 Jun 2021
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 9 67 0 17 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Bernard Ghanem V. Koltun GNN AI4CE 34 235 0 14 Jun 2021
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction Xiaoyu Mo Yang Xing Chen Lv 17 24 0 14 Jun 2021
Graph Neural Networks with Local Graph Parameters Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 24 64 0 12 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 15 503 0 07 Jun 2021
Superpixel-based Knowledge Infusion in Deep Neural Networks for Image Classification Gunjan Chhablani Abheesht Sharma Harshit Pandey T. Dash SupR 19 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 15 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 19 34 0 06 May 2021
Learning Feature Aggregation for Deep 3D Morphable Models Zhixiang Chen Tae-Kyun Kim 3DPC 3DH 37 24 0 05 May 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 39 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 11 8 0 14 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 Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan GNN 21 100 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 22 11 0 23 Feb 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 19 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 32 346 0 18 Feb 2021
Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image Akila Pemasiri Kien Nguyen Thanh S. Sridharan Clinton Fookes 3DH 28 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
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 91 558 0 04 Jan 2021
Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang Binh Yang Shenlong Wang R. Urtasun 3DPC 187 840 0 20 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 21 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 25 115 0 16 Dec 2020
I-GCN: Robust Graph Convolutional Network via Influence Mechanism Haoxi Zhan Xiaobing Pei GNN AAML 19 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 19 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 20 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 11 24 0 30 Nov 2020
Learning geometry-image representation for 3D point cloud generation Lei Wang Yuchun Huang Pengjie Tao Yaolin Hou Yuxuan Liu 3DPC 22 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 24 56 0 26 Nov 2020
Primal-Dual Mesh Convolutional Neural Networks Francesco Milano Antonio Loquercio Antoni Rosinol Davide Scaramuzza Luca Carlone 3DPC AI4CE 48 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 18 0 0 21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 21 13 0 21 Oct 2020