Bandit Samplers for Training Graph Neural Networks

10 June 2020

Papers citing "Bandit Samplers for Training Graph Neural Networks"

7 / 7 papers shown

Title
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs Shengwei Ji Yujie Tian Fei Liu Xinlu Li Le Wu GNN 37 0 0 14 Oct 2024
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks Yuchen Gui Boyi Wei W. Yuan Xi Jin GNN 19 1 0 07 Sep 2022
Bandit Sampling for Multiplex Networks Cenk Baykal Vamsi K. Potluru Sameena Shah Manuela Veloso 11 2 0 08 Feb 2022
IGLU: Efficient GCN Training via Lazy Updates S. Narayanan Aditya Sinha Prateek Jain Purushottam Kar Sundararajan Sellamanickam BDL 52 11 0 28 Sep 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio Nicholas D. Lane 46 34 0 03 Apr 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 29 100 0 10 Mar 2021
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 28 747 0 08 Sep 2020