Higher-Order Graph Convolutional Embedding for Temporal Networks.
Xian MoJun PangZhiming LiuPublished in: WISE (1) (2020)
Keyphrases
- manifold learning
- higher order
- low dimensional
- graph embedding
- dimensionality reduction
- high order
- average degree
- spatio temporal
- temporal information
- unsupervised feature learning
- fully connected
- graph structure
- community discovery
- complex networks
- biological networks
- directed graph
- random walk
- social networks
- natural images
- temporal constraints
- dynamic networks
- graph model
- graph mining
- network analysis
- markov random field
- graph theory
- graph structures
- temporal reasoning
- conditional random fields
- network size
- higher order relations
- pairwise
- overlapping communities
- lambda calculus
- graph layout
- directed edges
- random graphs
- graph clustering
- power law
- temporal data
- bipartite graph
- network structure
- spatial and temporal
- vector space
- protein interaction networks
- degree distribution
- social graphs
- weighted graph
- sparse coding
- nodes of a graph
- parity check