BiFeat: Supercharge GNN Training via Graph Feature Quantization.
Yuxin MaPing GongJun YiZhewei YaoMinjie WangCheng LiYuxiong HeFeng YanPublished in: CoRR (2022)
Keyphrases
- training examples
- graph representation
- feature vectors
- vector representation
- quantization error
- training algorithm
- training process
- artificial neural networks
- graph model
- random walk
- graph theoretic
- graph theory
- graph matching
- spanning tree
- structured data
- feature set
- image features
- connected components
- preprocessing stage
- graph based algorithm
- bipartite graph
- data sets
- test set
- training samples
- semi supervised learning
- supervised learning
- computational complexity
- neural network