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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
Crime Hotspot Prediction Using Deep Graph Convolutional Networks Tehreem Zubair Syeda Kisaa Fatima Noman Ahmed Asifullah Khan GNN 7 0 0 16 Jun 2025
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach Qingfeng Chen Shiyuan Li Yixin Liu Shirui Pan Geoffrey I. Webb Shichao Zhang EDL 36 0 0 16 Jun 2025
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? Michela Lapenna Caterina De Bacco 78 0 0 13 Jun 2025
Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Andrea Caraffa Davide Boscaini Fabio Poiesi 82 0 0 11 Jun 2025
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics Tobias Würth Niklas Freymuth Gerhard Neumann Luise Kärger DiffM AI4CE 52 0 0 06 Jun 2025
Lower Ricci Curvature for Hypergraphs Shiyi Yang Can Chen Didong Li 86 0 0 04 Jun 2025
Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives Zihu Wang Boxun Xu Hejia Geng Peng Li 65 0 0 21 May 2025
AdS-GNN -- a Conformally Equivariant Graph Neural Network Maksim Zhdanov Nabil Iqbal Erik Bekkers Patrick Forré 114 1 0 19 May 2025
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Boris Kriuk Matey Yordanov 95 0 0 02 May 2025
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries Neil He Jiahong Liu Buze Zhang N. Bui Ali Maatouk Menglin Yang Irwin King Melanie Weber Rex Ying 79 1 0 11 Apr 2025
Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity Recognition Vincent Gbouna Zakka Luis J. Manso Zhuangzhuang Dai 81 0 0 03 Apr 2025
MultiMorph: On-demand Atlas Construction S. M. Abulnaga Andrew Hoopes Neel Dey Malte Hoffmann Marianne Rakic B. Fischl John Guttag Adrian V. Dalca 81 0 0 31 Mar 2025
Distilling 3D distinctive local descriptors for 6D pose estimation Amir Hamza Andrea Caraffa Davide Boscaini Fabio Poiesi 98 1 0 19 Mar 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 192 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 89 1 0 17 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 197 11 0 10 Jan 2025
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends Duy M. Nguyen Hasan Md Tusfiqur Alam Trung Quoc Nguyen Devansh Srivastav H. Profitlich Ngan Le Daniel Sonntag 92 3 0 07 Jan 2025
SurfPatch: Enabling Patch Matching for Exploratory Stream Surface Visualization Delin An Chaoli Wang 50 0 0 01 Jan 2025
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers James H. Tanis Chris Giannella Adrian V. Mariano AI4CE GNN FaML PINN 129 0 0 27 Dec 2024
EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based Vision Qiang Qu Xiaoming Chen Yuk Ying Chung Yiran Shen AI4TS 117 5 0 10 Dec 2024
When does a bridge become an aeroplane? T. Dardeno L. Bull N. Dervilis Keith Worden 89 0 0 27 Nov 2024
Extended multi-stream temporal-attention module for skeleton-based human action recognition (HAR) Faisal Mehmood Xin Guo Enqing Chen Muhammad Azeem Akbar A. Khan Sami Ullah 88 4 0 10 Nov 2024
SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features Zhuoshuo Li Jiong Zhang Youbing Zeng Jiaying Lin Dan Zhang Jianjia Zhang Duan Xu H. Kim Bingguang Liu Mengting Liu 56 0 0 05 Nov 2024
A Recipe for Geometry-Aware 3D Mesh Transformers Mohammad Farazi Yalin Wang 96 0 0 31 Oct 2024
Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation Bohan Wang Yurui Chang Lu Lin OODD OOD 101 0 0 23 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 59 0 0 21 Oct 2024
Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: A Comprehensive Analysis of Multitarget Drug Effect Prediction A. Bose Guojing Cong 34 0 0 11 Oct 2024
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 178 0 0 11 Oct 2024
IT $^3$ : Idempotent Test-Time Training Nikita Durasov Assaf Shocher Doruk Öner Gal Chechik Alexei A. Efros Pascal Fua OOD VLM 115 1 0 05 Oct 2024
Graph Neural Network-State Predictive Information Bottleneck (GNN-SPIB) approach for learning molecular thermodynamics and kinetics Ziyue Zou Dedi Wang P. Tiwary AI4CE 32 1 0 18 Sep 2024
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning Miao Hu Yinlin Zhu Boyang Pang Guochen Yan Yeyu Yan Zening Li Zhengyu Wu Wentao Zhang Rong-Hua Li Guoren Wang FedML 111 1 0 29 Aug 2024
Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection Luca Silvano Carocci Qiwei Han 59 0 0 25 Aug 2024
Generalization of Graph Neural Networks is Robust to Model Mismatch Zhiyang Wang J. Cerviño Alejandro Ribeiro 128 2 0 25 Aug 2024
Self-Parameterization Based Multi-Resolution Mesh Convolution Networks Shi Hezi Jiang Luo Zheng Jianmin Zeng Jun AI4CE 64 1 0 25 Aug 2024
A Unified Manifold Similarity Measure Enhancing Few-Shot, Transfer, and Reinforcement Learning in Manifold-Distributed Datasets S. W. Qayyumi Laureance F Park O. Obst 44 0 0 12 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 83 5 0 31 Jul 2024
A review of graph neural network applications in mechanics-related domains Yingxue Zhao Haoran Li Haosu Zhou H. Attar Tobias Pfaff Nan Li AI4CE 134 8 0 10 Jul 2024
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds Juheon Lee Xiaohao Cai Carola-Bibian Schönlieb Simon Masnou 3DPC 83 1 0 05 Jul 2024
Differential Encoding for Improved Representation Learning over Graphs Haimin Zhang Jiahao Xia Min Xu 91 0 0 03 Jul 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 93 3 0 16 Jun 2024
Global-Local Graph Neural Networks for Node-Classification Moshe Eliasof Eran Treister 151 3 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 62 0 0 11 Jun 2024
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks Zhiyang Wang J. Cerviño Alejandro Ribeiro AI4CE GNN 74 9 0 07 Jun 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang Ricardo Vinuesa Namwoo Kang AI4CE 78 4 0 06 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Ya-Wei Eileen Lin Ronen Talmon Ron Levie 87 0 0 03 Jun 2024
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics Truong-Son Hy Thieu Khang Risi Kondor 49 0 0 01 Jun 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 118 4 0 27 May 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 155 0 0 27 May 2024
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks T. Konstantin Rusch Nathan Kirk M. Bronstein Christiane Lemieux Daniela Rus 101 7 0 23 May 2024
Analysis of Corrected Graph Convolutions Robert Wang Aseem Baranwal Kimon Fountoulakis 116 0 0 22 May 2024