DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction.
Fengtong XiaoLin LiWeinan XuJingyu ZhaoXiaofeng YangJun LangHao WangPublished in: CoRR (2021)
Keyphrases
- prediction accuracy
- small world
- graph representation
- average degree
- neural network ensemble
- edge weights
- betweenness centrality
- social networks
- complex networks
- graph matching
- community discovery
- weighted graph
- highly connected
- structured data
- prediction model
- graph structure
- network size
- graph structures
- random graphs
- random walk
- graph layout
- dynamic networks
- prediction algorithm
- human behavior
- artificial neural networks
- bipartite graph
- prediction error
- directed acyclic graph
- graph partitioning
- protein interaction networks
- graph mining
- graph databases
- heterogeneous networks
- structural patterns
- overlapping communities
- directed graph
- social graphs
- connected components
- graphical models
- power law