A Biased Graph Neural Network Sampler with Near-Optimal Regret

A Biased Graph Neural Network Sampler with Near-Optimal Regret

1 March 2021

Papers citing "A Biased Graph Neural Network Sampler with Near-Optimal Regret"

9 / 9 papers shown

Title
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 193 729 0 14 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 175 2,687 0 02 May 2020
Heterogeneous Graph Neural Networks for Malicious Account Detection Ziqi Liu Chaochao Chen Xinxing Yang Jun Zhou Xiaolong Li Le Song 62 355 0 27 Feb 2020
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 80 282 0 17 Nov 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 108 1,266 0 20 May 2019
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 412 3,101 0 04 Jun 2018
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 92 1,253 0 07 Jun 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 137 4,772 0 17 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 524 3,264 0 24 Nov 2016