Feature Network Methods in Machine Learning and Applications

10 January 2024

Papers citing "Feature Network Methods in Machine Learning and Applications"

10 / 10 papers shown

Title
ACFNet: Attentional Class Feature Network for Semantic Segmentation Fan Zhang Yanqin Chen Zhihang Li Zhibin Hong Jingtuo Liu Feifei Ma Junyu Han Errui Ding SSeg 3DPC 191 273 0 20 Sep 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 783 8,566 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,532 0 20 Dec 2018
Learning a Discriminative Feature Network for Semantic Segmentation Changqian Yu Jingbo Wang Chao Peng Changxin Gao Gang Yu Nong Sang SSeg 58 761 0 25 Apr 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 415 1,824 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 810 3,293 0 24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 652 29,154 0 09 Sep 2016
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 157 1,587 0 16 Jun 2015
Deep Learning using Linear Support Vector Machines Yichuan Tang 95 894 0 02 Jun 2013
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 133 3,979 0 31 Oct 2012