Learning to Approximate Adaptive Kernel Convolution on Graphs

22 January 2024

Papers citing "Learning to Approximate Adaptive Kernel Convolution on Graphs"

24 / 24 papers shown

Title
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels Seunghun Baek Jaeyoon Sim Guorong Wu Won Hwa Kim MedIm 112 1 0 03 Mar 2025
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 61 227 0 14 Jun 2023
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning Jong-whi Lee Jinhong Jung 58 11 0 02 Nov 2022
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 75 76 0 26 Jun 2022
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision Dongkwan Kim Alice Oh SSL GNN 103 260 0 11 Apr 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited Mingguo He Zhewei Wei Ji-Rong Wen GNN 84 110 0 04 Feb 2022
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 132 270 0 21 Jun 2021
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning Bingbing Xu Huawei Shen Qi Cao Keting Cen Xueqi Cheng 61 156 0 27 Jul 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 109 608 0 18 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 127 1,501 0 04 Jul 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 105 395 0 22 May 2020
Deep Iterative and Adaptive Learning for Graph Neural Networks Yu Chen Lingfei Wu Mohammed J Zaki GNN 53 48 0 17 Dec 2019
Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis Shih-Gu Huang Ilwoo Lyu A. Qiu M. Chung 43 26 0 07 Nov 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 157 712 0 28 Oct 2019
Text Level Graph Neural Network for Text Classification Lianzhe Huang Dehong Ma Sujian Li Xiaodong Zhang Houfeng WANG GNN 95 263 0 06 Oct 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 132 1,095 0 11 May 2019
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 87 229 0 27 Nov 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 171 1,366 0 14 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 225 1,694 0 14 Oct 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 149 1,517 0 30 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 484 20,265 0 30 Oct 2017
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation Jasmijn Bastings Ivan Titov Wilker Aziz Diego Marcheggiani K. Simaán GNN 115 491 0 15 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 679 29,183 0 09 Sep 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015