A minimal Graphs.jl implementation of SparseMatrixCSC-based graphs with arbitrary properties

Matrix Product Belief Propagation

Tensor Trains, mostly as probability distributions

Exact computations on fully-connected Ising models with uniform couplings

Factor graphs based on IndexedGraphs.jl