Every Node Counts: Self-Ensembling Graph Convolutional Networks for
Semi-Supervised Learning

Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning

26 September 2018

Yi Yang

Papers citing "Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning"

5 / 5 papers shown

Title
AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing Gusi Te Wei Hu Yinglu Liu Hailin Shi Tao Mei CVBM 3DH 120 27 0 18 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Omni-supervised Facial Expression Recognition via Distilled Data Ping Liu Yunchao Wei Zibo Meng Weihong Deng Joey Tianyi Zhou Yi Yang 23 1 0 18 May 2020
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification Negar Heidari Alexandros Iosifidis GNN 16 14 0 27 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016