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

> This operator's description has not been translated yet. The original text follows as it is.

ノードごとの in_degree / out_degree(二値)と in_strength / out_strength(重み和)の表。

度数は `W != 0` の本数(対角は除く)、strength は重みの和(対角は除く)。

返りは列名 → 長さ n の配列の dict(この repo の `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)

—

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).*

graph_degree_table — CONNGRAPH stats op