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
Conditional Local Feature Encoding for Graph Neural Networks Yongze Wang Haimin Zhang Qiang Wu Min Xu AI4CE GNN 80 1 0 08 May 2024
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network Ziang Zhou Jieming Shi Renchi Yang Yuanhang Zou Qing Li GNN 69 10 0 03 May 2024
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks Htoo Wai Aung Jiao Jiao Li Yang An Steven W. Su 62 0 0 26 Apr 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND Qiyu Kang Kai Zhao Qinxu Ding Feng Ji Xuhao Li Wenfei Liang Yang Song Wee Peng Tay 156 10 0 26 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark Coates 94 5 0 21 Apr 2024
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching Zibin Huang Jun Xian GNN 83 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 153 1 0 18 Apr 2024
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification Htoo Wai Aung Jiao Jiao Li Yang An Steven W. Su 62 2 0 17 Apr 2024
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs Haimin Zhang Min Xu GNN 87 0 0 15 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu 103 3 0 15 Apr 2024
A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on $n$ -dimensional Classes A. Benfenati A. Marta 82 2 0 09 Apr 2024
Graph Neural Networks for Binary Programming Moshe Eliasof Eldad Haber GNN 80 0 0 07 Apr 2024
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models Yifan Qu Oliver A. Krzysik H. Sterck Omer Ege Kara AI4CE 54 0 0 03 Apr 2024
Continuous Spiking Graph Neural Networks Nan Yin Mengzhu Wang Li Shen Hitesh Laxmichand Patel Baopu Li Bin Gu Huan Xiong GNN 93 11 0 02 Apr 2024
Graph Neural Aggregation-diffusion with Metastability Kaiyuan Cui Xinyan Wang Zicheng Zhang Weichen Zhao 102 2 0 29 Mar 2024
Physics-Informed Graph Neural Networks for Water Distribution Systems Inaam Ashraf Janine Strotherm L. Hermes Barbara Hammer AI4CE 88 8 0 27 Mar 2024
Enabling Uncertainty Estimation in Iterative Neural Networks Nikita Durasov Doruk Öner Jonathan Donier Hieu M. Le Pascal Fua UQCV 213 9 0 25 Mar 2024
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks Sukhdeep Singh Anuj Sharma Vinod Kumar Chauhan 102 0 0 22 Mar 2024
Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs Áron Samuel Kovács Pedro Hermosilla R. Raidou 3DV 63 2 0 11 Mar 2024
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction Souhaib Attaiki M. Ovsjanikov 3DPC 75 6 0 11 Mar 2024
An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation Soodeh Kalaie Andy Bulpitt Alejandro F. Frangi A. Gooya MedIm 70 1 0 10 Mar 2024
Attention is all you need for boosting graph convolutional neural network Yinwei Wu GNN 81 0 0 10 Mar 2024
Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches Léo Boisvert Hélene Verhaeghe Quentin Cappart 83 5 0 09 Mar 2024
Rethinking Few-shot 3D Point Cloud Semantic Segmentation Zhaochong An Guolei Sun Yun Liu Fayao Liu Zongwei Wu Dan Wang Luc Van Gool Serge Belongie 3DPC 104 7 0 01 Mar 2024
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks Jonas Kneifl Jörg Fehr Steven L. Brunton J. Nathan Kutz AI4CE 57 1 0 14 Feb 2024
Weisfeiler-Leman at the margin: When more expressivity matters Billy J. Franks Christopher Morris A. Velingker Floris Geerts 146 12 0 12 Feb 2024
Generalization Error of Graph Neural Networks in the Mean-field Regime Gholamali Aminian Yixuan He Gesine Reinert Lukasz Szpruch Samuel N. Cohen 60 3 0 10 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 105 5 0 09 Feb 2024
E(3)-Equivariant Mesh Neural Networks Thuan Trang Nhat-Khang Ngô Daniel Levy Thieu N. Vo Siamak Ravanbakhsh Truong-Son Hy MDE 81 4 0 07 Feb 2024
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation Ruizhe Zhang Xinke Jiang Yuchen Fang Jiayuan Luo Yongxin Xu Yichen Zhu Xu Chu Junfeng Zhao Yasha Wang 78 1 0 18 Jan 2024
Feature Network Methods in Machine Learning and Applications Xinying Mu Mark Kon GNN 27 0 0 10 Jan 2024
Strong Transitivity Relations and Graph Neural Networks Yassin Mohamadi M. H. Chehreghani GNN 52 2 0 01 Jan 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Helen Zhou 102 6 0 19 Dec 2023
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning Hossein Fereidooni Alessandro Pegoraro Phillip Rieger Alexandra Dmitrienko Ahmad-Reza Sadeghi AAML 71 15 0 07 Dec 2023
On the Initialization of Graph Neural Networks Jiahang Li Ya-Zhi Song Xiang Song David Wipf GNN 70 5 0 05 Dec 2023
Mixed-Integer Optimisation of Graph Neural Networks for Computer-Aided Molecular Design Tom McDonald Calvin Tsay Artur M. Schweidtmann Neil Yorke-Smith 94 15 0 02 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 116 8 0 30 Nov 2023
Improving embedding of graphs with missing data by soft manifolds Andrea Marinoni Pietro Lio Alessandro Barp Christian Jutten Mark Girolami 70 0 0 29 Nov 2023
Deformation-Guided Unsupervised Non-Rigid Shape Matching Aymen Merrouche João Regateiro Stefanie Wuhrer Edmond Boyer 3DPC 3DV 72 1 0 27 Nov 2023
Exploring Causal Learning through Graph Neural Networks: An In-depth Review Simi Job Xiaohui Tao Taotao Cai Haoran Xie Lin Li Jianming Yong Qing Li CML AI4CE 81 5 0 25 Nov 2023
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 75 10 0 21 Nov 2023
Unsupervised Multimodal Surface Registration with Geometric Deep Learning Mohamed A. Suliman Logan Z. J. Williams Abdulah Fawaz Emma C. Robinson 57 1 0 21 Nov 2023
Identification of vortex in unstructured mesh with graph neural networks Lianfa Wang Yvan Fournier J. Wald Youssef Mesri 37 6 0 11 Nov 2023
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing Jung Yeon Park Lawson L. S. Wong Robin Walters AI4CE 72 0 0 30 Oct 2023
A Metadata-Driven Approach to Understand Graph Neural Networks Tinghong Li Qiaozhu Mei Jiaqi Ma AI4CE 89 5 0 30 Oct 2023
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients Maximilian Krahn Michele Sasdelli Fengyi Yang Vladislav Golyanik Arno Solin Tat-Jun Chin Tolga Birdal MQ 170 2 0 23 Oct 2023
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection Chaoyue Ding Shiliang Sun Jing Zhao AI4TS 83 155 0 17 Oct 2023
Graph learning in robotics: a survey Francesca Pistilli Giuseppe Averta AI4CE GNN 58 8 0 06 Oct 2023
URLOST: Unsupervised Representation Learning without Stationarity or Topology Zeyu Yun Juexiao Zhang Bruno A. Olshausen Yann LeCun 216 1 0 06 Oct 2023
Fast, Expressive SE $(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space Erik J. Bekkers Sharvaree P. Vadgama Rob D. Hesselink P. A. V. D. Linden David W. Romero 67 30 0 04 Oct 2023