CKGConv: General Graph Convolution with Continuous Kernels

CKGConv: General Graph Convolution with Continuous Kernels

21 April 2024

Soumyasundar Pal

Yitian Zhang

Papers citing "CKGConv: General Graph Convolution with Continuous Kernels"

15 / 15 papers shown

Title
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 69 74 0 02 Mar 2023
Affinity-Aware Graph Networks A. Velingker A. Sinop Ira Ktena Petar Velickovic Sreenivas Gollapudi GNN 46 15 0 23 Jun 2022
Your Transformer May Not be as Powerful as You Expect Shengjie Luo Shanda Li Shuxin Zheng Tie-Yan Liu Liwei Wang Di He 52 50 0 26 May 2022
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 70 175 0 23 May 2022
Message passing all the way up Petar Velickovic 109 63 0 22 Feb 2022
GRPE: Relative Positional Encoding for Graph Transformer Wonpyo Park Woonggi Chang Donggeon Lee Juntae Kim Seung-won Hwang 39 74 0 30 Jan 2022
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 182 304 0 15 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,538 0 24 Feb 2021
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing Jan Toenshoff Martin Ritzert Hinrikus Wolf Martin Grohe GNN 73 27 0 17 Feb 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 181 907 0 02 Mar 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 145 760 0 30 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 201 14,190 0 07 Oct 2016