v1v2v3 (latest)

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
Learnt Sparsification for Interpretable Graph Neural Networks Mandeep Rathee Zijian Zhang Thorben Funke Megha Khosla Avishek Anand 78 3 0 23 Jun 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 67 42 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 98 76 0 22 Jun 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 132 270 0 21 Jun 2021
DeepMesh: Differentiable Iso-Surface Extraction Benoît Guillard Edoardo Remelli Artem Lukoianov Stephan R. Richter Timur M. Bagautdinov Pierre Baqué Pascal Fua AI4CE 95 21 0 20 Jun 2021
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining Oriel Frigo Rémy Brossard David Dehaene 53 1 0 18 Jun 2021
Training or Architecture? How to Incorporate Invariance in Neural Networks Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller 3DPC OOD 61 10 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 140 70 0 17 Jun 2021
Online Handbook of Argumentation for AI: Volume 2 Ohaai Collaboration Andreas Brannstrom Andreas Brannstrom Federico Castagna Theo Duchatelle Matt Foulis ... Robin Schaefer Luke Thorburn A. Xydis Antonio Yuste-Ginel Heng Zheng 50 1 0 16 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 103 243 0 14 Jun 2021
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction Xiaoyu Mo Yang Xing Chen Lv 71 25 0 14 Jun 2021
Graph Neural Networks with Local Graph Parameters Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 85 66 0 12 Jun 2021
Survey of Image Based Graph Neural Networks U. Nazir He Wang M. Taj GNN 67 6 0 11 Jun 2021
Scaling Up Graph Neural Networks Via Graph Coarsening Zengfeng Huang Shengzhong Zhang Chong Xi T. Liu Min Zhou GNN 130 106 0 09 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 140 549 0 07 Jun 2021
Graph Neural Networks in Network Neuroscience Alaa Bessadok Mohamed Ali Mahjoub I. Rekik GNN 95 184 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 61 125 0 04 Jun 2021
Multiresolution Equivariant Graph Variational Autoencoder Truong-Son Hy Risi Kondor 63 20 0 02 Jun 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 145 1,095 0 30 May 2021
Self-Supervised Graph Representation Learning via Topology Transformations Xiang Gao Wei Hu Guo-Jun Qi SSL 47 4 0 25 May 2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications Yecheng Lyu Xinming Huang Ziming Zhang GNN 67 4 0 23 May 2021
Superpixel-based Knowledge Infusion in Deep Neural Networks for Image Classification Gunjan Chhablani Abheesht Sharma Harshit Pandey T. Dash SupR 59 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 95 34 0 16 May 2021
Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms Hao Du Melissa Min-Szu Yao Liangyu Chen Wing P. Chan Mengling Feng MedIm 40 1 0 14 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs Christopher Morris Matthias Fey Nils M. Kriege GNN 55 24 0 12 May 2021
Homogeneous vector bundles and $G$ -equivariant convolutional neural networks J. Aronsson 76 24 0 12 May 2021
Graph Attention Networks with Positional Embeddings Liheng Ma Reihaneh Rabbany Adriana Romero Soriano GNN 72 21 0 09 May 2021
Q-Match: Iterative Shape Matching via Quantum Annealing Marcel Seelbach Benkner Zorah Lähner Vladislav Golyanik C. Wunderlich Christian Theobalt Michael Moeller 88 35 0 06 May 2021
Learning Feature Aggregation for Deep 3D Morphable Models Zhixiang Chen Tae-Kyun Kim 3DPC 3DH 89 25 0 05 May 2021
Graph Learning: A Survey Xiwei Xu Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 89 356 0 03 May 2021
HodgeNet: Learning Spectral Geometry on Triangle Meshes Dmitriy Smirnov Justin Solomon 92 26 0 26 Apr 2021
LGD-GCN: Local and Global Disentangled Graph Convolutional Networks Jingwei Guo Kaizhu Huang Xinping Yi Rui Zhang 29 5 0 24 Apr 2021
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation Ryuhei Hamaguchi Yasutaka Furukawa Masaki Onishi Ken Sakurada 28 4 0 22 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 82 6 0 20 Apr 2021
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas Shivansh Rao Vikas Kumar Daniel Kifer C. Lee Giles A. Mali 3DPC 49 11 0 19 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC Rohitash Chandra A. Bhagat Manavendra Maharana P. Krivitsky GNN BDL 101 18 0 17 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 70 8 0 14 Apr 2021
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 59 0 0 12 Apr 2021
Field Convolutions for Surface CNNs Thomas W. Mitchel Vladimir G. Kim Michael Kazhdan 74 19 0 08 Apr 2021
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches Benoît Guillard Edoardo Remelli Pierre Yvernay Pascal Fua 3DV 92 80 0 01 Apr 2021
Picasso: A CUDA-based Library for Deep Learning over 3D Meshes Huan Lei Naveed Akhtar Ajmal Mian 59 15 0 28 Mar 2021
Rethinking Graph Neural Architecture Search from Message-passing Shaofei Cai Liang Li Jincan Deng Beichen Zhang Zhengjun Zha Li Su Qingming Huang GNN AI4CE 78 53 0 26 Mar 2021
Dual Mesh Convolutional Networks for Human Shape Correspondence Nitika Verma A. Boukhayma Jakob Verbeek Edmond Boyer 3DH 30 5 0 23 Mar 2021
HeterSkinNet: A Heterogeneous Network for Skin Weights Prediction Xiaoyu Pan Jiancong Huang Jiaming Mai He Wang Honglin Li Tongkui Su Wenjun Wang Xiaogang Jin 3DH 58 5 0 19 Mar 2021
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks Ahmed M. Elmoogy Xiaodai Dong Tao Lu Robert Westendorp K. Reddy 51 9 0 17 Mar 2021
Adversarial Graph Disentanglement Shuai Zheng Zhenfeng Zhu Zhizhe Liu Shuiwang Ji Yao Zhao 66 10 0 12 Mar 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 86 105 0 10 Mar 2021
Implicit Integration of Superpixel Segmentation into Fully Convolutional Networks Teppei Suzuki SupR SSeg 63 2 0 05 Mar 2021
Graphfool: Targeted Label Adversarial Attack on Graph Embedding Jinyin Chen Xiang Lin Dunjie Zhang Haibin Zheng Guohan Huang Hui Xiong Xiang Lin AAML 79 3 0 24 Feb 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 84 11 0 23 Feb 2021