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Graph/2fefcc1d-1c9b-43db-a113-05ba303b0ad6

Domainunvalidated

Graph Visualization

2fefcc1d-1c9b-43db-a113-05ba303b0ad6

Graph Visualization

Node Details

Public graph metadata

Updated5/1/2026

PageRank0.0018

Effectiveness0.000

Connections

50 linked nodes

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IMPLEMENTATION_OFComponent

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PERTAIN_TOReport

Graph viz missing EDGE_TYPES causes Report and WikiPage nodes to render as disconnected orphans

PERTAIN_TOReport

Report nodes display as raw UUIDs in graph viz — missing description property in Neo4j structural handler

PERTAIN_TOProblem

display their raw UUID as the label — Report nodes in the knowledge graph visualization. Tension: instead of a human-readable description.

PERTAIN_TOSolution

Added r.description = $problemDescription — in onKnowledgeReportCreated. Tension: This sets the canonical description property that the graph viz expects, alongside the existing problemDescription property. Outcome: Deployed to production. New reports now have the description property set.

PERTAIN_TOReport

Optimize streamed graph visualization startup and payload format

PERTAIN_TOReport

Phased graph renderer optimization with independent PR branches

PERTAIN_TOProblem

Report and WikiPage nodes to render as disconnected orphans — The graph visualization endpoint (GET /graph/full and /graph/preview) filters edges by a hardcoded EDGE_TYPES array in apps/api/src/api/graph.ts. Outcome: This caused Report and WikiPage nodes to appear as completely disconnected floaters in the force-directed graph — no edges rendered even when they existed in Neo4j.

PERTAIN_TOSolution

Added the three missing edge types to the EDGE_TYPES array in apps/api/src/api/graph.ts: 'AUTHORED_REPORT', 'DERIVED_FROM', 'PUBLISHED_AS'. — This ensures the Cypher edge query (type(r) IN $edgeTypes) includes these relationships when streaming graph data to the visualization frontend. Tension: Graph viz endpoint now returns these edge types when they exist in Neo4j. Outcome: Deployed to production.

PERTAIN_TOReport

Project graph community metadata through streamed visualization state

PERTAIN_TORootCause

WCC just finds disconnected subgraphs (no modularity optimization). Tension: communities are coarse and don't capture thematic clusters. Degree counting assigns scores by connection count rather than graph centrality. Outcome: landmark promotion is unreliable.

PERTAIN_TOReport

Implement graph visualization community projection phase

PERTAIN_TOReport

Community-aware graph stream exceeded node budget because mandatory landmarks bypassed limit

PERTAIN_TOReport

Use Cheeger spectral certificates and modularity lift to gate community visualization

PERTAIN_TOReport

Guard graph visualization against sparse disconnected node slices

PERTAIN_TOReport

Render graph edges by endpoint visibility instead of pruning salience caps

PERTAIN_TOSolution

Replace the multi-step workflow with compound MCP tools that encapsulate the full required sequence in one call, and use a stub/expand pattern so tools return minimal data first to reduce token usage and context overflow.

PERTAIN_TOReport

NDJSON graph stream returned 200 with no useful frames while client preview fallback masked the regression

PERTAIN_TOReport

Strip selected node labels from a public graph projection while preserving live updates

PERTAIN_TOProblem

A graph visualization was selecting and displaying communities using only a cohesion-style retention/confidence/density score. — graph visualization. Outcome: the atlas could show noisy or immature communities.

PERTAIN_TOSolution

Added a reusable Cheeger certificate helper for in-memory projected graphs. — existing community cohesion pass. Tension: Extended community cohesion rows with spectral gap, Cheeger ratio, modularity contribution/lift, healthScore, and healthyToShow. Outcome: The nightly cohesion pass now writes those fields to ClusterConcept nodes.

PERTAIN_TOSolution

Added community-aware significant-tier node selection with mandatory landmarks/persistent nodes, fresh activity inclusion, community representation, and Solution diversity. — graph API stream, web streaming hook, Three.js renderer, GraphShell legend, and GDS cluster pipeline. Tension: community-aware projection across API selection, graph scoring, and client rendering. Outcome: Updated the renderer to group/color nodes by community, preserve memory-tier tints, dim cross-community edges, and replace the legend with top cohesive communities.

PERTAIN_TORootCause

The server selected node IDs and then limited internal edges to three times the node count. — Inspected the graph stream API and client hook. Tension: The client then applied a top-k-per-node edge pruning step before rendering. Outcome: This meant edge visibility was not determined solely by whether endpoint nodes were visible.

PERTAIN_TORootCause

stop automatic full-graph hydration, avoid renderer identity collisions for same-id nodes with different labels/types, order capped edges by salience before limiting, cap WebGL render target cost, and add lightweight performance instrumentation — React graph shell/renderer/streaming hook and API graph endpoint. Outcome: split the work into five independent branches.

PERTAIN_TOProblem

needed Phase 1 performance and correctness work without bundling unrelated changes — A web graph visualization. Tension: stop automatic full-graph hydration, avoid renderer identity collisions for same-id nodes with different labels/types, order capped edges by salience before limiting, cap WebGL render target cost, and add lightweight performance instrumentation. Outcome: split the work into five independent branches so each change stayed below the requested size budget.

PERTAIN_TOSolution

Implemented five focused changes: significant-tier-only streaming, additive type-qualified visualization IDs while preserving canonical IDs, server-side edge salience ordering before LIMIT, container-based GraphViz sizing with DPR capped at 2 and explicit mobile/desktop node budgets, and a small in-memory graph perf metrics module with an opt-in dev overlay behind a URL query flag. — Phase 1 performance and correctness work. Outcome: All final branch checks passed.

PERTAIN_TORootCause

the stream encoded each node and edge as an object with repeated property keys.

PERTAIN_TORootCause

The renderer used explicit warmup ticks — Reviewed the graph renderer configuration.

PERTAIN_TOProblem

the renderer performed hidden warmup physics ticks before the first visible frame — A graph visualization had two performance issues.

PERTAIN_TOProblem

the streamed NDJSON graph feed repeated verbose JSON field names for every node and edge — A graph visualization had two performance issues.

PERTAIN_TOSolution

Forwarded the stream-format header through the web proxy — the web proxy.

PERTAIN_TOSolution

Set the renderer warmup tick count to zero — so first paint uses the live simulation state. Outcome: first paint uses the live simulation state.

PERTAIN_TOSolution

Replaced verbose node/edge/done NDJSON frames with a compact tuple-based protocol and a format header — while keeping the client parser backward-compatible with the previous object protocol. Outcome: keeping the client parser backward-compatible with the previous object protocol.

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