Predicting Polypharmacy Side Effects Through a Relation-Wise Graph Attention Network.
Vincenzo CarlettiPasquale FoggiaAntonio GrecoAntonio RobertoMario VentoPublished in: S+SSPR (2020)
Keyphrases
- network dynamics
- random walk
- spanning tree
- network structure
- dynamic networks
- fully connected
- graphical representation
- peer to peer
- path length
- small world
- network architecture
- graph structure
- graph theory
- graph model
- network model
- network management
- bipartite graph
- link prediction
- random graphs
- real world networks
- network topologies
- visual attention
- complex networks
- network configuration
- wireless sensor networks
- highly connected
- sparsely connected