Extensions
Extension experiments are exploratory package examples. They are separate from reference package checks and should be described as extensions, not as reproduction results.
Custom Local Operator
The default graph local branch is
\[
L_j(Z)
=
\frac{1}{|\mathcal N(j)|}
\sum_{i\in\mathcal N(j)}W_\ell z_i.
\]
A custom local branch can introduce a different message law, for example
\[
m_i=\tanh(W_c z_i),
\qquad
L_j(Z)=\sum_{i\in\mathcal N(j)}m_i.
\]
Run:
Fully Configurable Stack
The JSON runner also accepts the same per-layer controls as SILVAGraphNetwork.
This example uses three equilibrium layers:
{
"hidden_dims": [14, 12, 10],
"local": ["graph", "topk", "gat"],
"local_kwargs": [null, {"k": 3}, {"heads": 2}],
"global_term": ["mean", "simple", "topk_attention"],
"global_kwargs": [null, null, {"k": 4}],
"self_term": ["none", "linear", "identity"],
"solver": [
{"solver": "picard", "max_iter": 6, "alpha": 0.5},
{"solver": "anderson", "max_iter": 6, "alpha": 0.4, "history": 3},
{"solver": "broyden", "max_iter": 4, "alpha": 0.3}
]
}
Run:
The corresponding model recurrence is
\[
z_\ell^\star
=
f_{\theta_\ell}(z_\ell^\star,h_{\ell-1}),
\qquad
h_\ell=z_\ell^\star,
\]
with \(L_\ell\), \(G_\ell\), \(H_\ell\), and the solver selected independently for each layer.
Notebook
Open:
The notebook builds the custom branch, inserts it into a SILVA stack, and runs a small training loop.
Where to Go Next
| Question | Page |
|---|---|
| Where is a custom branch implemented and executed? | Custom Layers Example |
| What evidence should an extended experiment report? | Reconstructing Paper Experiments |
| How are research architecture families represented? | Paper Family Adaptations |