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: KDD (2021)
Keyphrases
- neural network
- random walk
- fuzzy logic
- pattern recognition
- artificial neural networks
- graph theory
- graph structure
- graph representation
- back propagation
- neural network model
- graph model
- fault diagnosis
- multi layer
- neural nets
- graph theoretic
- graph search
- graph partitioning
- graph matching
- directed acyclic graph
- bipartite graph
- feed forward
- search algorithm
- data structure
- real world