Guided node graph convolutional networks for repository recommendation.
Guoqiang TanYuliang ShiJihu WangHui LiZhiyong ChenXinjun WangPublished in: Intell. Data Anal. (2023)
Keyphrases
- heterogeneous social networks
- overlapping communities
- edge weights
- graph structure
- betweenness centrality
- directed graph
- social networks
- social network analysis
- path length
- degree distribution
- complex networks
- average degree
- heterogeneous networks
- densely connected
- weighted graph
- small world networks
- small world
- graph structures
- community structure
- information diffusion
- undirected graph
- bipartite graph
- collaborative filtering
- computer networks
- digital libraries
- neighboring nodes
- nodes of a graph
- network nodes
- social graphs
- graph representation
- graph theory
- connected components
- random walk
- shortest path
- metadata
- recommender systems
- directed edges
- learning objects
- structured data
- source node
- network structure
- finding the shortest path
- graph layout
- graphical models
- user preferences
- tree structure
- graph partitioning
- root node
- citation networks
- clustering coefficient
- fully connected
- scale free
- real world networks
- graph mining
- recommendation systems
- mobile nodes
- spanning tree