view op• Data kinds: conn_graph → image2d
• Call: import fullseye as fs; fs.ledger.graph_adjacency_image(W: 'Any', order: 'str' = 'none', log: 'bool' = True) -> 'np.ndarray' (to call the implementation directly, import conngraph; conngraph.graph_adjacency_image(W: 'Any', order: 'str' = 'none', log: 'bool' = True) -> 'np.ndarray'; from the registry, opsconngraph.get("graph_adjacency_image"))
Turns the adjacency matrix into an image (n, n) in [0, 1]. order = none / degree (descending total degree) / component (component order).
The value is |W| (after log1p if log) divided by its maximum. If all zero, an all-zero image.
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• (none yet)
image2d as input)—
view)graph_layout_spectral · graph_edges_as_lines
*Provenance: conngraph.py — CONNGRAPH operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.