feat(experimental): add GPU PageRank with dangling redistribution

docs/api-reference/experimental/README.md

@@ -114,6 +114,18 @@ schemas, GPU-resident spans, process/thread hierarchy, dependency focus, interac
 and timeline picking in a dedicated optional submodule. It composes generic command graphs,
 visibility, flat scenes, and indirect rendering without adding trace concepts to their APIs.
 
+## GPU-resident Graph Analytics
+
+<p class="badges">
+  <img src="https://img.shields.io/badge/WebGPU-required-blueviolet.svg?style=flat-square" alt="WebGPU required" />
+</p>
+
+[`@luma.gl/experimental/lugraph`](/docs/api-reference/experimental/lugraph) turns existing GPU
+edge columns into reusable compressed adjacency, vertex degrees, bounded shortest-path searches,
+weakly connected components, and dangling-aware PageRank scores. Social networks, dependency graphs,
+transaction investigations, and infrastructure maps can compose those operations into one WebGPU
+command graph without copying source batches or reading complete results back to JavaScript.
+
 ## GPU-resident Linked Crossfiltering
 
 <p class="badges">

docs/table-of-contents.json

@@ -209,6 +209,7 @@
           "api-reference/experimental/pbr-environment",
           "api-reference/experimental/geospatial",
           "api-reference/experimental/luproj",
+          "api-reference/experimental/lugraph",
           "api-reference/experimental/luxfilter",
           "api-reference/experimental/lutrace",
           "api-reference/experimental/g-buffer",
@@ -340,6 +341,7 @@
           "api-reference/experimental/pbr-environment",
           "api-reference/experimental/geospatial",
           "api-reference/experimental/luproj",
+          "api-reference/experimental/lugraph",
           "api-reference/experimental/luxfilter",
           "api-reference/experimental/lutrace",
           "api-reference/experimental/g-buffer",

modules/experimental/src/lugraph/README.md

@@ -1,9 +1,16 @@
 # @luma.gl/experimental/lugraph
 
-`@luma.gl/experimental/lugraph` provides an optional, headless graph data model over existing,
-caller-owned GPU table vectors. Its current foundation preserves source and target vertex columns,
-optional edge weights and stable identifiers, property tables, and original chunk boundaries. It
-does not upload or copy source data, submit GPU work, render graphs, or provide a graph application.
+`@luma.gl/experimental/lugraph` analyzes connected data directly on a browser WebGPU device. Its
+optional, headless graph model preserves existing source and target vertex columns, stable edge
+identifiers, optional properties, and original GPU vector chunks without uploading or copying them.
+
+Reusable compressed adjacency supports vertex-degree queries, bounded breadth-first shortest paths,
+weakly connected components, and normalized PageRank with dangling-vertex redistribution. Those
+operations contribute work to a caller-owned `GPUCommandGraph`; applications retain ownership of
+their buffers, rendering, command submission, and any explicitly requested result readback.
+
+See the [luGraph graph analytics guide](/docs/api-reference/experimental/lugraph) for when to use
+each operation, complete GPU-resident composition examples, and ownership and capacity contracts.
 
 ## Attribution and licensing
 

modules/experimental/src/lugraph/index.ts

@@ -16,3 +16,5 @@ export type {
 } from './lu-graph-breadth-first-search';
 export {LuGraphConnectedComponents} from './lu-graph-connected-components';
 export type {LuGraphConnectedComponentsProps} from './lu-graph-connected-components';
+export {LuGraphPageRank} from './lu-graph-page-rank';
+export type {LuGraphPageRankProps} from './lu-graph-page-rank';