graph_degree_table — CONNGRAPH stats op

• Data kinds: conn_graph → table

• Call: import fullseye as fs; fs.ledger.graph_degree_table(W: 'Any') -> 'dict[str, np.ndarray]' (to call the implementation directly, import conngraph; conngraph.graph_degree_table(W: 'Any') -> 'dict[str, np.ndarray]'; from the registry, opsconngraph.get("graph_degree_table"))

Usage

Per-node table of in_degree / out_degree (binary) and in_strength / out_strength (sum of weights).

The degree is the number of W != 0 entries (diagonal excluded); strength is the sum of weights (diagonal excluded). Returns a dict of column name → array of length n (this repo's table).

Detailed usage guide

• conngraph family guide

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• poc_larval_connectome_reservoir — py -3.11 examples/poc_larval_connectome_reservoir.py

• poc_theorems_as_pictures — py -3.11 examples/poc_theorems_as_pictures.py

Ops the type connects to (they accept table as input)

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Same category (stats)

graph_clustering_coefficient · graph_betweenness · graph_laplacian_spectrum · graph_spectral_radius · graph_components · graph_modularity · graph_rich_club · graph_motif_count

*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.