Graph Neural Networks with Learnable Structural and Positional Representations.
Vijay Prakash DwivediAnh Tuan LuuThomas LaurentYoshua BengioXavier BressonPublished in: ICLR (2022)
Keyphrases
- neural network
- artificial neural networks
- vector representation
- graph structure
- pattern recognition
- graph theory
- graph representations
- structural information
- distributed representations
- graphical representation
- graph representation
- spanning tree
- bipartite graph
- neural nets
- neural network model
- genetic algorithm
- weighted graph
- training process
- directed acyclic graph
- graph mining
- structural patterns
- random walk
- symbolic representation
- back propagation
- graph partitioning
- recurrent neural networks
- learning algorithm
- social networks
- graph theoretic
- directed graph
- structured data
- graph databases
- fault diagnosis
- connected components