Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network

17 February 2020

Papers citing "Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network"

5 / 5 papers shown

Title
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching Zibin Huang Jun Xian GNN 27 0 0 19 Apr 2024
Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks Nasimeh Heydaribeni Xinrui Zhan Ruisi Zhang Tina Eliassi-Rad F. Koushanfar AI4CE 22 8 0 15 Nov 2023
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan GNN 21 95 0 10 Mar 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 226 1,726 0 09 Jun 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 234 1,801 0 25 Nov 2016