TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting.
Yuzhou ChenIgnacio Segovia-DominguezBaris CoskunuzerYulia R. GelPublished in: ICLR (2022)
Keyphrases
- knowledge representation
- spatio temporal
- average degree
- directed graph
- small world
- graph theory
- highly connected
- knowledge acquisition
- knowledge engineering
- community discovery
- dynamic networks
- network size
- edge weights
- graph representation
- bipartite graph
- complex networks
- social networks
- semantic web
- logic programming
- connected components
- expert systems
- fully connected
- random walk
- directed acyclic graph
- knowledge structures
- network analysis
- natural language processing
- path length
- graph structures
- betweenness centrality
- temporal analysis
- network structure
- machine learning
- shortest path
- temporal filtering
- graph layout
- graph model
- weighted graph
- graph structure
- artificial neural networks
- natural language