Multi-behavior Recommendation with Graph Convolutional Networks.
Bowen JinChen GaoXiangnan HeDepeng JinYong LiPublished in: SIGIR (2020)
Keyphrases
- heterogeneous social networks
- average degree
- recommender systems
- social networks
- graph representation
- small world
- collaborative filtering
- complex networks
- graph structures
- fully connected
- weighted graph
- graph structure
- graph theory
- directed edges
- highly connected
- overlapping communities
- random walk
- edge weights
- recommendation systems
- community detection
- community structure
- real world graphs
- path length
- graph matching
- dynamic networks
- community discovery
- directed graph
- graph layout
- graph model