Dynamic Emotion Modeling With Learnable Graphs and Graph Inception Network.
Amir ShirianSubarna TripathiTanaya GuhaPublished in: IEEE Trans. Multim. (2022)
Keyphrases
- dynamic networks
- dynamic graph
- random graphs
- network structure
- spanning tree
- graph representation
- graph theory
- graph structure
- fully connected
- graph databases
- directed graph
- small world
- finding the shortest path
- highly connected
- graph theoretic
- weighted graph
- community discovery
- average degree
- directed edges
- graph model
- graph theoretical
- graph matching
- protein interaction networks
- graph construction
- graph mining
- real world networks
- labeled graphs
- adjacency matrix
- graph structures
- graph search
- graph clustering
- edge weights
- subgraph isomorphism
- real world social networks
- bipartite graph
- graph classification
- degree distribution
- densely connected
- complex networks
- connected subgraphs
- graph properties
- real world graphs
- graph isomorphism
- minimum spanning tree
- strongly connected
- series parallel
- graph kernels
- dense subgraphs
- link prediction
- structured data
- random graph models
- maximum common subgraph
- learning algorithm
- social graphs
- query graph
- graph data
- graph partitioning
- years ago
- community detection
- community structure
- random walk
- social networks