MIED : An Improved Graph Neural Network for Node Embedding in Heterogeneous Graphs.
Mingjian NiYinghao SongGongju WangLanxiao FengYang LiLong YanDazhong LiYanfei WangShikun ZhangYulun SongPublished in: EAI Endorsed Trans. Scalable Inf. Syst. (2023)
Keyphrases
- nodes of a graph
- graph structure
- directed graph
- neural network
- finding the shortest path
- undirected graph
- random walk
- graph embedding
- graph clustering
- graph structures
- edge weights
- weighted graph
- graph representation
- graph theory
- spectral embedding
- graph matching
- graph properties
- adjacency matrix
- graph theoretic
- graph databases
- graph classification
- graph representations
- graph construction
- shortest path
- series parallel
- artificial neural networks
- graph theoretical
- graph mining
- graph data
- random graphs
- densely connected
- betweenness centrality
- labeled graphs
- degree distribution
- graph model
- graph partitioning
- directed acyclic
- bipartite graph
- graphical models
- graph search
- small world
- back propagation
- tree structure
- strongly connected
- small world networks
- graph isomorphism
- social networks
- maximum clique
- subgraph isomorphism
- structured data
- spanning tree
- real world graphs
- spectral methods
- dynamic graph
- directed acyclic graph