softgraph 0.3.0

Graph ML in one call: node/edge/temporal + MLP/GCN/SAGE (optional) + useful plots.

softgraph (one-call API) — v0.3.0

One call to generate data → extract features → train a model → evaluate and plot.

Install (editable dev)

pip install -e .

Optional deep:

pip install "softgraph[deep]"
# Then install torch-geometric from wheels if you want GCN/SAGE.

Usage

import softgraph

run = softgraph.softgraph(
    task="node_classification",
    dataset="sbm",
    n=800, k=4, p_in=0.10, p_out=0.02,
    features="spectral:16",
    model="mlp",
    plot=True,      # confusion matrix
    curves=True     # learning curve
)
print(run["metrics"])