Energy-Based Model

Probabilistic energy-based neural network with hidden variables.

Simplified Boltzmann Machine with bipartite structure.

Probabilistic graphical model for structured prediction.

Probabilistic model for sequential data with latent states.

Extension of convolution to graph domains using adjacency structure.

GNN using attention to weight neighbor contributions dynamically.

Graphs containing multiple node or edge types with different semantics.

Structured graph encoding facts as entity–relation–entity triples.