NENN: Incorporate Node and Edge Features in Graph Neural Networks.
Yulei YangDongsheng LiPublished in: ACML (2020)
Keyphrases
- neural network
- graph structure
- directed graph
- pattern recognition
- artificial neural networks
- undirected graph
- fuzzy logic
- graph representation
- tree structure
- structured data
- graph theory
- graph theoretic
- back propagation
- path length
- bipartite graph
- edge weights
- root node
- nodes of a graph
- feed forward
- random walk
- graph matching
- weighted graph
- connected components
- overlapping communities
- genetic algorithm
- recurrent neural networks
- training process
- graph mining
- neural network model
- graphical models
- graph based algorithm
- web pages
- densely connected
- finding the shortest path