Zero-shot Node Classification with Graph Contrastive Embedding Network.
Wei JuYifang QinSiyu YiZhengyang MaoKangjie ZhengLuchen LiuXiao LuoMing ZhangPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- graph structure
- directed graph
- overlapping communities
- nodes of a graph
- pattern recognition
- path length
- spanning tree
- random walk
- strongly connected
- machine learning
- feature vectors
- feature selection
- classification accuracy
- image classification
- support vector machine svm
- small world
- edge weights
- vector space
- root node
- finding the shortest path
- support vector
- neighboring nodes
- undirected graph
- graph theory
- densely connected
- computer networks
- training set
- degree distribution
- network structure
- support vector machine
- clustering coefficient
- link prediction
- network nodes
- small world networks
- intermediate nodes
- hidden nodes
- graph embedding
- fully connected
- graphical representation
- complex networks
- social network analysis
- structured data
- peer to peer
- supervised learning
- feature space
- decision trees
- learning algorithm