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
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Boris Kriuk Matey Yordanov 35 0 0 02 May 2025
Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Rongzhao He Weihao Zheng Leilei Zhao Ying Wang Dalin Zhu Dan Wu Bin Hu Mamba 95 0 0 21 Feb 2025
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 47 0 0 17 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal K. Fountoulakis Aukosh Jagannath 81 11 0 10 Jan 2025
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 52 0 0 11 Oct 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 30 2 0 16 Jun 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs Elika Bozorgi Sakher Khalil Alqaiidi Afsaneh Shams H. Arabnia Krzysztof Kochut 31 0 0 11 Jun 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang Ricardo Vinuesa Namwoo Kang AI4CE 43 4 0 06 Jun 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 48 0 0 27 May 2024
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching Zibin Huang Jun Xian GNN 27 0 0 19 Apr 2024
MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading Wenhao Zhang Jun Wang Yong Luo Lei Yu Wei Yu Zheng He Jialie Shen 35 0 0 18 Apr 2024
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs Haimin Zhang Min Xu GNN 34 0 0 15 Apr 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 39 5 0 09 Feb 2024
Differentiable Visual Computing for Inverse Problems and Machine Learning Andrew Spielberg Fangcheng Zhong Konstantinos Rematas Krishna Murthy Jatavallabhula Cengiz Öztireli Tzu-Mao Li Derek Nowrouzezahrai 38 7 0 21 Nov 2023
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection Chaoyue Ding Shiliang Sun Jing Zhao AI4TS 28 140 0 17 Oct 2023
URLOST: Unsupervised Representation Learning without Stationarity or Topology Zeyu Yun Juexiao Zhang Bruno A. Olshausen Yann LeCun 28 0 0 06 Oct 2023
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 34 3 0 28 Sep 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 26 3 0 11 Sep 2023
BLiSS: Bootstrapped Linear Shape Space Sanjeev Muralikrishnan C. Huang Duygu Ceylan Niloy J. Mitra 33 3 0 04 Sep 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 25 0 0 30 Aug 2023
Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information Raihan Islam Arnob Gregory J. Stein 28 2 0 26 Jul 2023
How Curvature Enhance the Adaptation Power of Framelet GCNs Dai Shi Yi Guo Zhiqi Shao Junbin Gao 21 14 0 19 Jul 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks Wenzhuo Liu Mouadh Yagoubi Marc Schoenauer AI4CE 19 0 0 18 Jun 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 30 6 0 05 Jun 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 28 52 0 15 May 2023
Enhancing Road Safety through Accurate Detection of Hazardous Driving Behaviors with Graph Convolutional Recurrent Networks Pooyan Khosravinia Thinagaran Perumal Javad Zarrin 19 7 0 08 May 2023
How Graph Structure and Label Dependencies Contribute to Node Classification in a Large Network of Documents Pirmin Lemberger Antoine Saillenfest GNN 25 0 0 03 Apr 2023
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) U. Nazir W. Islam M. Taj 16 3 0 25 Mar 2023
The Multiscale Surface Vision Transformer Simon Dahan Logan Z. J. Williams Daniel Rueckert E. C. Robinson MedIm ViT 10 2 0 21 Mar 2023
A Survey on Oversmoothing in Graph Neural Networks T. Konstantin Rusch Michael M. Bronstein Siddhartha Mishra 18 185 0 20 Mar 2023
Deep Learning on Implicit Neural Representations of Shapes Luca de Luigi Adriano Cardace Riccardo Spezialetti Pierluigi Zama Ramirez Samuele Salti Luigi Di Stefano 21 46 0 10 Feb 2023
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks Chen Pang Xuequan Lu Lei Lyu 28 20 0 27 Jan 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 22 179 0 19 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 44 2 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 11 8 0 30 Dec 2022
Effects of Data Geometry in Early Deep Learning Saket Tiwari G. Konidaris 67 7 0 29 Dec 2022
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Chenqing Hua X. Chang Doina Precup GNN 11 32 0 21 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 35 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 11 5 0 06 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 L. Kara 30 12 0 01 Dec 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization Stefan Stojanov Anh Thai Zixuan Huang James M. Rehg 18 1 0 28 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 18 10 0 21 Nov 2022
Convolutional Filtering on Sampled Manifolds Zhiyang Wang Luana Ruiz Alejandro Ribeiro 11 3 0 20 Nov 2022
Spatial Graph Convolution Neural Networks for Water Distribution Systems Inaam Ashraf L. Hermes André Artelt Barbara Hammer GNN 19 7 0 17 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 37 21 0 06 Nov 2022
Searching Dense Point Correspondences via Permutation Matrix Learning Zhiyuan Zhang Jiadai Sun Yuchao Dai Bin Fan Qi Liu 3DPC 19 2 0 26 Oct 2022
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence Mohammad Farazi Wenjie Zhu Zhangsihao Yang Yalin Wang 3DPC 21 3 0 17 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 27 37 0 29 Sep 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 18 3 0 24 Sep 2022
Dynamic Graph Message Passing Networks for Visual Recognition Li Zhang Mohan Chen Anurag Arnab Xiangyang Xue Philip H. S. Torr GNN 29 1 0 20 Sep 2022