Integrating Graph Convolutional Networks (GCNNs) and Long Short-Term Memory (LSTM) for Efficient Diagnosis of Autism.

Kashaf Masood Rasha F. Kashef

Published in: AIME (2022)

Keyphrases

graph model
recurrent neural networks
long short term memory
graph representation
bipartite graph
graph structure
weighted graph
medical diagnosis
neural network
machine learning
random walk
fault diagnosis
telecommunication networks
dynamic networks
peer to peer overlay