Accelerating Graph Neural Networks in Pytorch with HLS and Deep Dataflows.
José L. Núñez-YáñezPublished in: ARC (2023)
Keyphrases
- neural network
- pattern recognition
- graph representation
- graph structure
- directed graph
- random walk
- recurrent neural networks
- artificial neural networks
- connected components
- back propagation
- structured data
- graph based algorithm
- weighted graph
- graph mining
- graph clustering
- graph structures
- graph search
- stable set
- graph partitioning
- graph databases
- graph model
- directed acyclic graph
- graph theory
- genetic algorithm