Provably Powerful Graph Neural Networks for Directed Multigraphs.
Béni EgressyLuc von NiederhäusernJovan BlanusaErik R. AltmanRoger WattenhoferKubilay AtasuPublished in: AAAI (2024)
Keyphrases
- neural network
- pattern recognition
- directed graph
- graph representation
- neural network model
- fuzzy logic
- graph structure
- graph model
- genetic algorithm
- bipartite graph
- random walk
- structured data
- neural nets
- graph databases
- directed acyclic graph
- weighted graph
- graph theoretic
- communication networks
- feed forward
- dependency graph
- probabilistic model
- artificial neural networks
- data sets
- graph clustering
- graph data
- graphical representation
- search engine
- image segmentation
- activation function
- graph partitioning
- spanning tree
- reinforcement learning
- expert systems
- graph mining
- connected components
- training process
- fuzzy systems
- worst case
- graphical models
- back propagation
- recurrent neural networks
- multilayer perceptron
- graph matching
- fault diagnosis
- user friendly