Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks.
Gaotang LiMarlena DudaXiang ZhangDanai KoutraYujun YanPublished in: CoRR (2023)
Keyphrases
- neural network
- graph matching
- graph representation
- graph structure
- graph mining
- graph construction
- directed graph
- pattern recognition
- graph theory
- series parallel
- labeled graphs
- weighted graph
- graph structures
- graph databases
- bipartite graph
- structural pattern recognition
- graph theoretic
- subgraph isomorphism
- graph model
- undirected graph
- graph representations
- graph isomorphism
- random walk
- maximum clique
- graph classification
- graph properties
- graph theoretical
- small world
- graph search
- random graphs
- graph clustering
- graph data
- spanning tree
- human brain
- structured data
- adjacency matrix
- graph patterns
- graph partitioning
- complex structures
- graph transformation
- back propagation
- directed acyclic
- maximum cardinality
- finding the shortest path