Revisiting Graph Neural Networks for Node Classification in Heterogeneous Graphs.
Ye TaoYing LiZhonghai WuPublished in: ICME (2021)
Keyphrases
- support vector machine
- graph structure
- directed graph
- neural network
- support vector
- undirected graph
- graph theory
- graph representation
- finding the shortest path
- pattern recognition
- edge weights
- graph matching
- graph model
- weighted graph
- training set
- graph construction
- bipartite graph
- random walk
- graph classification
- graph mining
- graph databases
- graph partitioning
- graph theoretic
- graph structures
- graph representations
- structural pattern recognition
- series parallel
- graph search
- decision trees
- graph clustering
- spanning tree
- directed acyclic graph
- shortest path
- random graphs
- maximal cliques
- graph data
- degree distribution
- labeled graphs
- feature extraction
- nodes of a graph