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

Haitz Sáez de Ocáriz Borde Anastasis Kratsios

Published in: ICLR (2024)

Keyphrases

latent variables
graph theory
neural network
probabilistic inference
random walk
network architecture
knowledge base
probabilistic model
spatial data
first order logic
directed graph
graph structure
graph theoretic
clique tree