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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
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities Antonio Longa Veronica Lachi G. Santin Monica Bianchini Bruno Lepri Pietro Lio F. Scarselli Andrea Passerini AI4CE 81 62 0 02 Feb 2023
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks Chen Pang Xuequan Lu Lei Lyu 95 21 0 27 Jan 2023
WL meet VC Christopher Morris Floris Geerts Jan Tönshoff Martin Grohe 114 27 0 26 Jan 2023
Event Detection in Football using Graph Convolutional Networks A. Rana GNN 62 2 0 24 Jan 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 109 190 0 19 Jan 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Hongzhi Zhang Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio GNN AI4CE 125 15 0 14 Jan 2023
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants Chen Xue Fan Wang Yuanzhuo Zhu Hui Li Deyu Meng Dinggang Shen C. Lian 104 3 0 01 Jan 2023
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading Hasan Md Tusfiqur D. M. Nguyen M. T. N. Truong T. A. Nguyen Binh Duc Nguyen ... H. Profitlich Ngoc T. T. Than Ngan Le P. Xie Daniel Sonntag MedIm 83 8 0 30 Dec 2022
Effects of Data Geometry in Early Deep Learning Saket Tiwari George Konidaris 150 7 0 29 Dec 2022
PersonaSAGE: A Multi-Persona Graph Neural Network G. Choudhary I. Burhanuddin Eunyee Koh F. Du Ryan Rossi 55 0 0 28 Dec 2022
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Chenqing Hua Xiao-Wen Chang Doina Precup GNN 67 34 0 21 Dec 2022
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis Qijian Zhang Junhui Hou Y. Qian Yiming Zeng Juyong Zhang Ying He 3DPC 114 28 0 17 Dec 2022
Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition Junghoon Lee Minhyeok Lee Suhwan Cho Sungmin Woo Sungjun Jang Sangyoun Lee 95 18 0 09 Dec 2022
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks Jiaqi Ma Xingjian Zhang Hezheng Fan Jin Huang Tianyue Li Tinghong Li Yiwen Tu Chen Zhu Qiaozhu Mei 114 5 0 08 Dec 2022
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors Marvin Eisenberger Aysim Toker Laura Leal-Taixé Daniel Cremers 84 6 0 06 Dec 2022
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification Jun-Liang Lin Yuan Wan Jingwen Xu X. Qi 116 0 0 04 Dec 2022
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks Wentai Zhang Joe Joseph Yueyan Yin Liuyue Xie T. Furuhata Soji Yamakawa Kenji Shimada Levent Burak Kara 67 13 0 01 Dec 2022
Weisfeiler and Leman Go Relational Pablo Barceló Mikhail Galkin Christopher Morris Miguel Romero Orth GNN 75 27 0 30 Nov 2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder Zi-Chao Gao Yifan Niu Jiashun Cheng Jianheng Tang Tingyang Xu P. Zhao Lanqing Li Fugee Tsung Jia Li 124 13 0 30 Nov 2022
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification Moshe Eliasof E. Haber Eran Treister GNN 109 0 0 29 Nov 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization Stefan Stojanov Anh Thai Zixuan Huang James M. Rehg 98 2 0 28 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 69 6 0 27 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 91 30 0 25 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference Nikita Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 89 10 0 21 Nov 2022
Convolutional Filtering on Sampled Manifolds Zhiyang Wang Luana Ruiz Alejandro Ribeiro 65 3 0 20 Nov 2022
Spatial Graph Convolution Neural Networks for Water Distribution Systems Inaam Ashraf L. Hermes André Artelt Barbara Hammer GNN 62 9 0 17 Nov 2022
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model Dániel Unyi Bálint Gyires-Tóth MedIm 37 1 0 16 Nov 2022
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks Anders Aamand Justin Y. Chen Piotr Indyk Shyam Narayanan R. Rubinfeld Nicholas Schiefer Sandeep Silwal Tal Wagner 83 21 0 06 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui Qitian Wu Jiancan Wu Daixin Wang Longfei Li An Zhang Xiang Wang Xiangnan He OOD 119 36 0 05 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 96 23 0 31 Oct 2022
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks Yong-Min Shin Sun-Woo Kim Won-Yong Shin 82 4 0 31 Oct 2022
End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location Shiqing Liu Xueming Yan Yaochu Jin 69 9 0 27 Oct 2022
Searching Dense Point Correspondences via Permutation Matrix Learning Zhiyuan Zhang Jiadai Sun Yuchao Dai Bin Fan Qi Liu 3DPC 72 2 0 26 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang Qitian Wu Junchi Yan 65 28 0 24 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 135 33 0 21 Oct 2022
HCL: Improving Graph Representation with Hierarchical Contrastive Learning Jun Wang Weixun Li Changyu Hou Xin Tang Yixuan Qiao Rui Fang Pengyong Li Peng Gao Guowang Xie 62 1 0 21 Oct 2022
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence Mohammad Farazi Wenjie Zhu Zhangsihao Yang Yalin Wang 3DPC 62 3 0 17 Oct 2022
Pixel-Aligned Non-parametric Hand Mesh Reconstruction Shijian Jiang Guwen Han Danhang Tang Yang Zhou Xiang Li Jiming Chen Qi Ye 3DH 68 0 0 17 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning Tiantian He Haicang Zhou Yew-Soon Ong Gao Cong GNN 133 4 0 14 Oct 2022
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching Lei Li Nicolas Donati M. Ovsjanikov 126 30 0 12 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information Xiao Liu Lijun Zhang Hui Guan GNN 60 2 0 08 Oct 2022
MAtt: A Manifold Attention Network for EEG Decoding Yue Pan Jing-Lun Chou Chunshan Wei 65 42 0 05 Oct 2022
Gradient Gating for Deep Multi-Rate Learning on Graphs T. Konstantin Rusch B. Chamberlain Michael W. Mahoney Michael M. Bronstein Siddhartha Mishra 125 59 0 02 Oct 2022
Convolutional Neural Networks on Manifolds: From Graphs and Back Zhiyang Wang Luana Ruiz Alejandro Ribeiro 3DPC GNN 94 14 0 01 Oct 2022
Towards General-Purpose Representation Learning of Polygonal Geometries Gengchen Mai C. Jiang Weiwei Sun Rui Zhu Yao Xuan Ling Cai K. Janowicz Stefano Ermon Ni Lao 84 38 0 29 Sep 2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks Y. Mao L. Sha Huajie Shao Yuliang Gu Qixin Wang Tarek Abdelzaher PINN AI4CE 101 1 0 27 Sep 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective Chaoqi Chen Yushuang Wu Qiyuan Dai Hong-Yu Zhou Mutian Xu Sibei Yang Xiaoguang Han Yizhou Yu ViT MedIm AI4CE 137 80 0 27 Sep 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 67 3 0 24 Sep 2022
Dynamic Graph Message Passing Networks for Visual Recognition Li Zhang Mohan Chen Anurag Arnab Xiangyang Xue Philip Torr GNN 66 1 0 20 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 87 9 0 20 Sep 2022