GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks

20 February 2021

Papers citing "GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks"

6 / 6 papers shown

Title
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision Dongkwan Kim Alice Oh SSL GNN 79 259 0 11 Apr 2022
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification Rahul Ragesh Sundararajan Sellamanickam Arun Shankar Iyer Ramakrishna Bairi Vijay Lingam GNN 31 83 0 19 Aug 2020
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification Xuan Wu Lingxiao Zhao Leman Akoglu 20 31 0 26 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 339 5,714 0 25 Jul 2019
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 67 227 0 27 Nov 2018
NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski Oleksandr Shchur Daniel Zügner Stephan Günnemann GAN GNN 111 361 0 02 Mar 2018