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The graph is compounding faster than the database.

Since August, recorded relationships have grown far faster than the number of people represented. Under the fixed reference, GraphSAGE has moved from trailing profile similarity to leading it on both primary measures. The next question is whether those different recommendations are actually more useful to sellers.

Recorded snapshots: August 21 to October 4, 2026Methods, sources and limits included
+38.8%People in the graph47,326 to 65,682
9.53xRecorded relationships21,348 to 203,549 (+853.5%)
4.30xPeople with a connection9,289 to 39,944 (+330.0%)

The opportunity is to build relationship context around people, not merely add names. More structure gives the network model more to evaluate. Better sales recommendations remain the goal, not a conclusion.

Research notes

Latest recorded test: October 4, 2026

EXG-RN-001 · Graph learning / Link prediction / Energy

Beyond more contacts: a compounding Energy relationship network

Recorded relationships grew 9.53x while the number of people grew 38.8%. Under the unchanged fixed-reference test, GraphSAGE moved from 5.22 AUC points behind profile similarity to 2.81 points ahead. Recommendation usefulness still requires independent validation.

Fixed-reference series: August 21, 2026 to October 4, 2026Supplementary diagnostic retained: September 20, 2026Version 1.3Not peer reviewed

GraphSAGE AUC across the checkpoints

DateAUCSetup
August 21, 20260.8302Fixed reference
September 4, 20260.8802Fixed reference
October 4, 20260.9192Fixed reference
September 20, 2026*0.9153Supplementary

*September 20 used the changed setup and remains supplementary. October 4 is the third fixed-reference point. On October 4 the semantic reference scored 0.8911.

Three questions the testing must answer

Can the model recognize documented connections?Test how well it distinguishes a recorded professional connection from a pair with no recorded connection.Measured in the fixed-reference relationship tests.
Does it recommend different people?Compare its contact shortlist with the existing Warm Path recommendations, using the same eligible people.Compared for 632 targets on September 20 and October 4.
Are those recommendations useful?Ask independent reviewers whether the contacts fit the sales opportunity and the proposed connections have supporting evidence.Not yet independently judged.

A higher test score or a different contact list does not, by itself, mean a better sales recommendation.

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