FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently.
Zicun CongBaoxu ShiShan LiJaewon YangQi HeJian PeiPublished in: CoRR (2024)
Keyphrases
- convolutional neural networks
- random walk
- training set
- graph matching
- graph theoretic
- graph representation
- graph partitioning
- training process
- weighted graph
- graph structure
- graph theory
- structured data
- online learning
- social networks
- back propagation
- computationally efficient
- directed acyclic graph
- high accuracy
- multiscale
- high quality