GSD-GNN: Generalizable and Scalable Algorithms for Decoupled Graph Neural Networks.
Yunfeng YuLonglong LinQiyu LiuZeli WangXi OuTao JiaPublished in: ICMR (2024)
Keyphrases
- neural network
- graph theory
- learning algorithm
- highly scalable
- worst case
- pattern recognition
- combinatorial optimization
- computationally efficient
- scale poorly
- theoretical analysis
- random walk
- significant improvement
- artificial neural networks
- directed graph
- bipartite graph
- data structure
- graph structure
- graph data
- web pages
- graph search
- genetic algorithm