MTGCN: A multi-task approach for node classification and link prediction in graph data.
Zongqian WuMengmeng ZhanHaiqi ZhangQimin LuoKun TangPublished in: Inf. Process. Manag. (2022)
Keyphrases
- link prediction
- graph mining
- multi task
- collective classification
- graph data
- multi task learning
- supervised learning
- random walk
- social network analysis
- learning tasks
- network analysis
- bipartite graph
- relational data
- social networks
- graph kernels
- learning problems
- feature selection
- collaborative filtering
- decision trees
- network structure
- feature vectors
- feature extraction
- machine learning
- transfer learning
- kernel machines
- graph databases
- complex networks
- text classification
- support vector
- support vector machine
- training data
- structured data
- multi class
- unsupervised learning