Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks.
Gaotang LiMarlena DudaXiang ZhangDanai KoutraYujun YanPublished in: KDD (2023)
Keyphrases
- neural network
- graph representation
- graph theory
- graph model
- graph theoretic
- graph structure
- labeled graphs
- graph matching
- weighted graph
- directed graph
- graph theoretical
- graph construction
- graph clustering
- graph partitioning
- pattern recognition
- graph mining
- graph structures
- series parallel
- graph classification
- inexact graph matching
- graph embedding
- graph search
- graph isomorphism
- random graphs
- graph databases
- case study
- graph patterns
- small world
- complex structures
- spanning tree
- graph representations
- bipartite graph
- human brain
- maximum cardinality
- connected graphs