SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels

24 November 2017

Papers citing "SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels"

50 / 98 papers shown

Title
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning Sixuan Wang Jiao Yin Jinli Cao MingJian Tang Hua Wang Yanchun Zhang GNN AI4CE 53 0 0 30 Apr 2025
Normalized Matching Transformer Abtin Pourhadi Paul Swoboda ViT 42 0 0 22 Mar 2025
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks Runzhong Wang Yang Li Junchi Yan Xiaokang Yang AI4CE 44 0 0 06 Sep 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks Runzhong Wang Yunhao Zhang Ziao Guo Tianyi Chen Xiaokang Yang Junchi Yan 32 16 0 18 Jul 2024
Convolutional Kolmogorov-Arnold Networks Alexander Dylan Bodner Antonio Santiago Tepsich Jack Natan Spolski Santiago Pourteau 42 65 0 19 Jun 2024
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision Yufeng Yang Adrian Kneip Charlotte Frenkel GNN 36 4 0 30 Apr 2024
URLOST: Unsupervised Representation Learning without Stationarity or Topology Zeyu Yun Juexiao Zhang Bruno A. Olshausen Yann LeCun 31 0 0 06 Oct 2023
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance Junjie Yang Matthieu Labeau Steeven Villa OT 26 1 0 28 Sep 2023
Unsupervised Deep Graph Matching Based on Cycle Consistency Siddharth Tourani Carsten Rother M. H. Khan Bogdan Savchynskkyy 32 3 0 18 Jul 2023
An Exploration of Conditioning Methods in Graph Neural Networks Yeskendir Koishekenov Erik J. Bekkers AI4CE 40 3 0 03 May 2023
Link Prediction for Flow-Driven Spatial Networks Bastian Wittmann Johannes C. Paetzold Chinmay Prabhakar Daniel Rueckert Bjoern H. Menze GNN 29 7 0 25 Mar 2023
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) U. Nazir W. Islam M. Taj 20 3 0 25 Mar 2023
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds Yong-xing He Hongshan Yu Zhengeng Yang Xiaoguang Liu Wei Sun Ajmal Saeed Mian ViT 3DPC 14 3 0 08 Mar 2023
Reinforcement Learning for Block Decomposition of CAD Models Benjamin C. DiPrete R. Garimella Cristina Garcia Cardona Navamita Ray 11 1 0 21 Feb 2023
Universe Points Representation Learning for Partial Multi-Graph Matching Zhakshylyk Nurlanov Frank R. Schmidt Florian Bernard 39 5 0 01 Dec 2022
Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras Daniel Gehrig Davide Scaramuzza GNN 16 29 0 22 Nov 2022
QuadConv: Quadrature-Based Convolutions with Applications to Non-Uniform PDE Data Compression Kevin Doherty Cooper Simpson Stephen Becker Alireza Doostan 26 7 0 09 Nov 2022
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging N. Shehata Wulfie Bain Ben Glocker 32 2 0 29 Oct 2022
Learning Universe Model for Partial Matching Networks over Multiple Graphs Zetian Jiang Jiaxin Lu Tianzhe Wang Junchi Yan 24 2 0 19 Oct 2022
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence Mohammad Farazi Wenjie Zhu Zhangsihao Yang Yalin Wang 3DPC 31 3 0 17 Oct 2022
Approximating Continuous Convolutions for Deep Network Compression Theo W. Costain V. Prisacariu 36 0 0 17 Oct 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
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence Lei Li Souhaib Attaiki M. Ovsjanikov 19 8 0 16 Sep 2022
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations Pan He Patrick Emami Sanjay Ranka Anand Rangarajan 3DPC 28 1 0 05 Sep 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 30 12 0 23 Aug 2022
Unsupervised Deep Multi-Shape Matching Dongliang Cao Florian Bernard 3DPC 3DV 29 30 0 20 Jul 2022
SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data David Hart Michael Whitney B. Morse 45 2 0 18 Jul 2022
Image Aesthetics Assessment Using Graph Attention Network Koustav Ghosal A. Smolic 11 5 0 26 Jun 2022
ExSpliNet: An interpretable and expressive spline-based neural network Daniele Fakhoury Emanuele Fakhoury H. Speleers 11 33 0 03 May 2022
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching Nicolas Donati E. Corman M. Ovsjanikov 19 34 0 28 Apr 2022
AEGNN: Asynchronous Event-based Graph Neural Networks S. Schaefer Daniel Gehrig Davide Scaramuzza GNN 21 142 0 31 Mar 2022
An explainability framework for cortical surface-based deep learning Fernanda L. Ribeiro S. Bollmann R. Cunnington A. M. Puckett FAtt AAML MedIm 18 2 0 15 Mar 2022
Deep learning classification of large-scale point clouds: A case study on cuneiform tablets Frederik Hagelskjaer 3DV 3DPC 19 6 0 22 Feb 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 31 104 0 04 Feb 2022
Laplacian2Mesh: Laplacian-Based Mesh Understanding Qiujie Dong Zixiong Wang Manyi Li Junjie Gao Shuangmin Chen Zhenyu Shu Shiqing Xin Changhe Tu Wenping Wang 16 25 0 01 Feb 2022
FN-Net:Remove the Outliers by Filtering the Noise Kai Lv 13 0 0 23 Jan 2022
Deconfounding to Explanation Evaluation in Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xia Hu Fuli Feng Xiangnan He Tat-Seng Chua FAtt CML 17 14 0 21 Jan 2022
Deep Probabilistic Graph Matching He Liu Tao Wang Yidong Li Congyan Lang Songhe Feng Haibin Ling 18 2 0 05 Jan 2022
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters Takanori Maehara Hoang NT 41 2 0 05 Nov 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 19 32 0 28 Oct 2021
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation Mohsen Yavartanoo Shih-Hsuan Hung Reyhaneh Neshatavar Yue Zhang Kyoung Mu Lee 19 15 0 15 Oct 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi Cesare Alippi GNN FAtt AI4CE 30 90 0 11 Oct 2021
Leveraging power grid topology in machine learning assisted optimal power flow Thomas Falconer Letif Mones 9 47 0 01 Oct 2021
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs Nils Wandel Michael Weinmann Michael Neidlin Reinhard Klein AI4CE 58 60 0 15 Sep 2021
Joint Graph Learning and Matching for Semantic Feature Correspondence He Liu Tao Wang Yidong Li Congyan Lang Yi Jin Haibin Ling 30 20 0 01 Sep 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 39 122 0 04 Aug 2021
DeepMesh: Differentiable Iso-Surface Extraction Benoît Guillard Edoardo Remelli Artem Lukoianov Stephan R. Richter Timur M. Bagautdinov Pierre Baqué Pascal Fua AI4CE 25 20 0 20 Jun 2021
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining Oriel Frigo Rémy Brossard David Dehaene 37 1 0 18 Jun 2021
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking Yiding Yang Zhou Ren Haoxiang Li Chunluan Zhou Xinchao Wang G. Hua 3DH 19 66 0 07 Jun 2021
Stochastic Iterative Graph Matching Linfeng Liu M. C. Hughes S. Hassoun Liping Liu 27 15 0 04 Jun 2021