GraphGT: Machine Learning Datasets for Graph Generation and Transformation.
Yuanqi DuShiyu WangXiaojie GuoHengning CaoShujie HuJunji JiangAishwarya VaralaAbhinav AngirekulaLiang ZhaoPublished in: NeurIPS Datasets and Benchmarks (2021)
Keyphrases
- machine learning
- graph structure
- directed graph
- graph theory
- graph data
- learning algorithm
- feature selection
- structured data
- bipartite graph
- information extraction
- machine learning approaches
- graph representation
- natural language processing
- pattern recognition
- graph matching
- benchmark datasets
- machine learning methods
- artificial intelligence
- data mining
- inductive logic programming
- learning problems
- graph theoretic
- machine learning algorithms
- random walk
- knowledge acquisition
- learning systems
- database
- reinforcement learning
- knowledge representation
- natural language
- massive graphs
- transformation rules
- generation method
- graph partitioning
- spanning tree
- graph model
- weighted graph
- image registration
- supervised learning