Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks.
Qingsong LvMing DingQiang LiuYuxiang ChenWenzheng FengSiming HeChang ZhouJianguo JiangYuxiao DongJie TangPublished in: CoRR (2021)
Keyphrases
- neural network
- pattern recognition
- artificial neural networks
- directed graph
- graph representation
- structured data
- fuzzy logic
- back propagation
- graph structure
- graph theory
- graph based algorithm
- fault diagnosis
- graph theoretic
- graph model
- feed forward
- graph matching
- neural nets
- multilayer perceptron
- rule extraction
- genetic algorithm
- graph mining
- recurrent neural networks
- pairwise
- data sets
- connected components
- self organizing maps
- search algorithm
- expert systems