A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs.
Claudia VaneaJonathan CampbellOmri DodiLiis SalumäeKaren MeirDrorith Hochner-CelnikierHagit HochnerTriin LaiskLinda M. ErnstCecilia M. LindgrenChristoffer NellåkerPublished in: CoRR (2022)
Keyphrases
- graph structure
- directed graph
- graph theory
- learning algorithm
- graph structures
- supervised learning
- unsupervised learning
- graph representation
- learning process
- active learning
- graph classification
- graph theoretical
- directed acyclic
- decision trees
- structural learning
- graph data
- feature selection
- structured data
- text classification
- tree structure
- graphical models
- graph kernels
- support vector
- dynamic graph
- graph properties
- training set
- classification accuracy
- graph representations
- support vector machine
- fully connected
- graph construction
- random graphs
- graph clustering
- graph theoretic
- undirected graph
- graph databases
- graph model
- graph mining