Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries.

Haitz Sáez de Ocáriz Borde Anastasis Kratsios

Published in: CoRR (2023)

Keyphrases

latent variables
neural network
random walk
bayesian networks
graph structure
structured data
graph theoretic
graph theory
directed graph
artificial neural networks
connected components
probabilistic inference
information extraction
graph mining
graph model
network architecture
high dimensional