MGEDR: A Molecular Graph Encoder for Drug Recommendation.
Kaiyuan ShiShaowu ZhangHaifeng LiuYijia ZhangHongfei LinPublished in: NLPCC (2) (2022)
Keyphrases
- drug discovery
- drug design
- graph model
- virtual screening
- random walk
- bit rate
- recommender systems
- rate distortion
- three dimensional
- bipartite graph
- collaborative filtering
- user preferences
- recommendation systems
- directed graph
- chemical compounds
- graph partitioning
- spanning tree
- graph structure
- graph theory
- low complexity
- structured data
- graph databases
- graph representation
- recommendation algorithms
- motion estimation