Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs.
Osman Asif MalikShashanka UbaruLior HoreshMisha E. KilmerHaim AvronPublished in: CoRR (2019)
Keyphrases
- dynamic networks
- dynamic graph
- graph structures
- average degree
- graph theoretic
- graph theory
- directed graph
- graph representation
- network analysis
- graph structure
- highly connected
- small world
- edge weights
- graph mining
- social graphs
- weighted graph
- random graphs
- graph properties
- real world graphs
- adjacency matrix
- graph matching
- graph model
- network structure
- community discovery
- labeled graphs
- graph layout
- graph theoretical
- graph databases
- graph construction
- directed edges
- real world networks
- graph classification
- graph clustering
- fully connected
- social networks
- graph partitioning
- degree distribution
- maximum clique
- graph isomorphism
- graph data
- structural pattern recognition
- series parallel
- complex networks
- graph representations
- protein interaction networks
- spanning tree
- undirected graph
- densely connected
- graph mining algorithms
- finding the shortest path
- structured data
- adjacency graph
- network properties
- topological information
- subgraph isomorphism
- graph embedding
- graph kernels
- biological networks
- high order
- maximal cliques
- dense subgraphs
- graph search
- real world social networks
- minimum spanning tree
- connected graphs
- maximum common subgraph