Graph Neural Network for Higher-Order Dependency Networks.
Di JinYingli GongZhiqiang WangZhizhi YuDongxiao HeYuxiao HuangWenjun WangPublished in: WWW (2022)
Keyphrases
- higher order
- neural network
- dependency graph
- average degree
- dynamic networks
- small world
- network model
- pairwise
- network analysis
- graph model
- edge weights
- natural images
- higher order relations
- artificial neural networks
- weighted graph
- network structure
- graph matching
- bipartite graph
- social graphs
- back propagation
- directed acyclic graph
- fault diagnosis
- network size
- random walk
- complex networks
- graph structures
- fully connected
- community discovery
- fuzzy logic
- graph representation
- connected components
- graph theory
- high order
- conditional random fields
- graph partitioning
- activation function
- graph structure
- degree distribution
- overlapping communities
- betweenness centrality
- protein interaction networks
- community structure
- neural network is trained
- highly connected
- graph layout
- graph data