graph_core_persistence — GRAPH population op

• 数据种类:table → table

• 调用: import fullseye as fs; fs.ledger.graph_core_persistence(adjs, mode='in', weighted=False)(要直接调用实现,import graphinv; graphinv.graph_core_persistence(adjs, mode='in', weighted=False);从台账取用则 opsgraph.get("graph_core_persistence"))

用法

> 该算子的说明尚无译文,以下照原文给出。

Which nodes sit in the innermost core of every individual — K wirings on one node order.

adjs is a list of K square matrices or a table {name: matrix} on the same node order (a node absent from an individual is a zero row and column). For each individual the innermost core of graph_kcore (same mode / weighted) is taken; appearances[v] counts the individuals whose innermost core contains v. An individual whose innermost index is 0 (e.g. no edges) has no core and contributes no member. Following Yadav & Singh 2026, a node is persistent if it is in the core of all K, recurrent if in 2 .. K−1, transient if in exactly 1, and never otherwise.

Returns a dict: k (K), n, names, membership (K, n) bool, appearances (n,), persistent / recurrent / transient / never (n,) bool masks, n_persistent .. n_never, kmax (K,) the innermost index per individual, n_inner (K,), mode, weighted.

Identities: sum(n_inner) == sum(appearances); the four classes partition the nodes; K identical inputs make every core node persistent and nothing recurrent or transient; every persistent node is in every individual's innermost core.

Raises ValueError: adjs not a list / table; fewer than 2 individuals; matrices of different sizes; any refusal of graph_kcore.

参考(示例数据、文献)

• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。

• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。

• 算法的正典(作者、年份)与用途见上面的族使用指南。

可运行的示例(实际调用该算子并已验证的样例)

• poc_worm_core_persists — py -3.11 examples/poc_worm_core_persists.py

类型可衔接的下一个算子(可接受 table 作为输入)

graph_edge_consensus · tree_morphometry · tree_sholl · tree_run_length

同类别(population)

graph_edge_consensus · graph_strength_growth


*Provenance: graphinv.py — GRAPH 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.