Knowledge Graph Catalog

Samyama ships with 8 pre-built knowledge graphs spanning biomedicine, public health, sports, and industrial operations. Each KG is available as a portable .sgsnap snapshot that loads in seconds, stored on S3 (s3://samyama-data/snapshots/) and GitHub Releases. All KGs are cataloged in the Supabase kg_registry table.

Catalog Overview

graph TB
    subgraph "Biomedical Trifecta"
        PKG["🧬 Pathways KG<br/>119K nodes · 835K edges"]
        CTKG["💊 Clinical Trials KG<br/>7.8M nodes · 27M edges"]
        DIKG["💉 Drug Interactions KG<br/>245K nodes · 388K edges"]
    end

    subgraph "Public Health Trifecta"
        DSKG["🦠 Disease Surveillance KG<br/>217K nodes · 241K edges"]
        HDKG["📊 Health Determinants KG<br/>286K nodes · 286K edges"]
        HSKG["🏥 Health Systems KG<br/>20K nodes · 19K edges"]
    end

    subgraph "Sports"
        CKG["🏏 Cricket KG<br/>36K nodes · 1.4M edges"]
    end

    subgraph "Industrial"
        AOKG["🏭 AssetOps KG<br/>781 nodes · 955 edges"]
    end

    PKG -.->|"Gene · Protein"| DIKG
    DIKG -.->|"Drug · Intervention"| CTKG
    DSKG -.->|"Disease · Condition"| CTKG
    DSKG -.->|"Drug · AMR"| DIKG
    DSKG -.->|"Region"| HDKG
    DSKG -.->|"Region"| HSKG

    style CKG fill:#3b82f6,stroke:#333,color:#fff
    style PKG fill:#10b981,stroke:#333,color:#fff
    style CTKG fill:#8b5cf6,stroke:#333,color:#fff
    style DIKG fill:#ec4899,stroke:#333,color:#fff
    style AOKG fill:#f59e0b,stroke:#333,color:#fff
    style DSKG fill:#06b6d4,stroke:#333,color:#fff
    style HDKG fill:#84cc16,stroke:#333,color:#fff
    style HSKG fill:#f97316,stroke:#333,color:#fff

KG	Nodes	Edges	Labels	Edge Types	Snapshot	Source	Status
Cricket KG	36,619	1,392,017	6	12	21 MB	Cricsheet	Live
Pathways KG	118,686	834,785	5	9	9 MB	Reactome, STRING, GO	Live
Clinical Trials KG	7,774,446	26,973,997	15	25	711 MB	AACT, MeSH, RxNorm	Live
Drug Interactions KG	245,000	388,000	8	9	8.1 MB	DrugBank, SIDER, ChEMBL, DGIdb, OpenFDA	Live
AssetOps KG	781	955	8	10	< 1 MB	Synthetic (AssetOpsBench)	Live
Disease Surveillance KG	216,553	241,084	6	5	5.7 MB	WHO GHO	Live
Health Determinants KG	285,635	285,628	7	6	6.5 MB	World Bank WDI, WHO Air Quality, WHO WASH	Live
Health Systems KG	19,661	19,428	3	2	0.5 MB	WHO SPAR, WHO NHWA	Live

Cross-KG Federation

The biomedical trifecta (Pathways + Clinical Trials + Drug Interactions) enables queries spanning molecular biology, translational medicine, and pharmacogenomics. With PubMed: 74.3M nodes, 1.07B edges — 96/100 queries pass. BiomedQA benchmark: 98% accuracy with MCP tools.

The public health trifecta (Disease Surveillance + Health Determinants + Health Systems) enables queries from disease outbreaks to population vulnerability to health system capacity — 40/40 queries pass. Bridges to the biomedical trifecta via Country.iso_code, Drug.drugbank_id, and Gene.gene_name.

Together, the 6-KG federation spans molecular biology to population health in a single OpenCypher query. See Cross-KG Federation for details.

Cricket KG

21K international cricket matches from Cricsheet — ball-by-ball data spanning T20, ODI, and Test formats.

Click for full demo (1:56) — Dashboard, Cypher Queries, and Graph Simulation

Schema

graph LR
    Player -->|BATTED_IN| Match
    Player -->|BOWLED_IN| Match
    Player -->|DISMISSED| Player
    Player -->|FIELDED_DISMISSAL| Player
    Player -->|PLAYED_FOR| Team
    Player -->|PLAYER_OF_MATCH| Match
    Team -->|COMPETED_IN| Match
    Team -->|WON| Match
    Team -->|WON_TOSS| Match
    Match -->|HOSTED_AT| Venue
    Match -->|IN_SEASON| Season
    Match -->|PART_OF| Tournament

    style Player fill:#3b82f6,stroke:#333,color:#fff
    style Match fill:#8b5cf6,stroke:#333,color:#fff
    style Team fill:#ef4444,stroke:#333,color:#fff
    style Venue fill:#f59e0b,stroke:#333,color:#fff
    style Tournament fill:#10b981,stroke:#333,color:#fff
    style Season fill:#ec4899,stroke:#333,color:#fff

Label	Count	Key Properties
Match	21,324	date, match_type, season, winner
Player	12,933	name
Tournament	1,053	name
Venue	877	name, city
Team	383	name
Season	49	name

Example Queries

-- Top 10 run scorers across all formats
MATCH (p:Player)-[b:BATTED_IN]->(m:Match)
RETURN p.name AS player, sum(b.runs) AS total_runs
ORDER BY total_runs DESC LIMIT 10

-- Bowler-batsman rivalries
MATCH (bowler:Player)-[d:DISMISSED]->(victim:Player)
RETURN bowler.name, victim.name, count(d) AS times
ORDER BY times DESC LIMIT 10

-- Venue-team affinity (home advantage)
MATCH (t:Team)-[:WON]->(m:Match)-[:HOSTED_AT]->(v:Venue)
WITH t, v, count(m) AS wins WHERE wins >= 5
RETURN t.name, v.name, wins ORDER BY wins DESC LIMIT 15

Repository: samyama-ai/cricket-kg Snapshot: kg-snapshots-v1 (cricket.sgsnap, 21 MB)

Pathways KG

Biological pathways knowledge graph combining 5 open-license data sources — Reactome, STRING, Gene Ontology, WikiPathways, and UniProt. Human-only (organism 9606).

Click for full demo (2:06) — Dashboard, Cypher Queries, and Graph Simulation

Schema

graph LR
    Protein -->|PARTICIPATES_IN| Pathway
    Protein -->|CATALYZES| Reaction
    Protein -->|COMPONENT_OF| Complex
    Protein -->|ANNOTATED_WITH| GOTerm
    Protein -->|INTERACTS_WITH| Protein
    Pathway -->|CHILD_OF| Pathway
    GOTerm -->|IS_A| GOTerm
    GOTerm -->|PART_OF| GOTerm
    GOTerm -->|REGULATES| GOTerm

    style Protein fill:#3b82f6,stroke:#333,color:#fff
    style Pathway fill:#10b981,stroke:#333,color:#fff
    style GOTerm fill:#8b5cf6,stroke:#333,color:#fff
    style Reaction fill:#f59e0b,stroke:#333,color:#fff
    style Complex fill:#ef4444,stroke:#333,color:#fff

Label	Count	Key Properties
GOTerm	51,897	go_id, name, namespace, definition
Protein	37,990	uniprot_id, name, gene_name
Complex	15,963	reactome_id, name
Reaction	9,988	reactome_id, name
Pathway	2,848	reactome_id, name, source

Edge Type	Count	Description
ANNOTATED_WITH	265,492	Protein → GO term annotation
INTERACTS_WITH	227,818	Protein-protein interaction (STRING, score ≥ 700)
PARTICIPATES_IN	140,153	Protein → Pathway membership
CATALYZES	121,365	Protein → Reaction catalysis
IS_A	58,799	GO term hierarchy
COMPONENT_OF	8,186	Protein → Complex membership
PART_OF	7,122	GO term part-of relation
REGULATES	2,986	GO term regulation
CHILD_OF	2,864	Pathway hierarchy

Repository: samyama-ai/pathways-kg Snapshot: kg-snapshots-v3 (pathways.sgsnap, 9 MB)

Clinical Trials KG

575K+ clinical studies from ClinicalTrials.gov enriched with MeSH disease hierarchy, RxNorm drug normalization, ATC drug classification, OpenFDA adverse events, and PubMed publications.

Schema

graph LR
    ClinicalTrial -->|STUDIES| Condition
    ClinicalTrial -->|TESTS| Intervention
    ClinicalTrial -->|HAS_ARM| ArmGroup
    ClinicalTrial -->|MEASURES| Outcome
    ClinicalTrial -->|SPONSORED_BY| Sponsor
    ClinicalTrial -->|CONDUCTED_AT| Site
    ClinicalTrial -->|REPORTED| AdverseEvent
    ClinicalTrial -->|PUBLISHED_IN| Publication
    ArmGroup -->|USES| Intervention
    Intervention -->|CODED_AS_DRUG| Drug
    Condition -->|CODED_AS_MESH| MeSHDescriptor
    Drug -->|TARGETS| Protein
    Drug -->|CLASSIFIED_AS| DrugClass
    Drug -->|TREATS| Condition
    Gene -->|ENCODES| Protein
    Gene -->|ASSOCIATED_WITH| Condition
    MeSHDescriptor -->|BROADER_THAN| MeSHDescriptor

    style ClinicalTrial fill:#8b5cf6,stroke:#333,color:#fff
    style Condition fill:#ef4444,stroke:#333,color:#fff
    style Intervention fill:#3b82f6,stroke:#333,color:#fff
    style Drug fill:#10b981,stroke:#333,color:#fff
    style Protein fill:#f59e0b,stroke:#333,color:#fff
    style Gene fill:#ec4899,stroke:#333,color:#fff
    style MeSHDescriptor fill:#06b6d4,stroke:#333,color:#fff
    style Publication fill:#84cc16,stroke:#333,color:#fff

Label	Key Properties	Source
ClinicalTrial	nct_id, title, phase, overall_status, enrollment	ClinicalTrials.gov
Condition	name, mesh_id, icd10_code	ClinicalTrials.gov
Intervention	name, type (DRUG/DEVICE/…), rxnorm_cui	ClinicalTrials.gov
Drug	rxnorm_cui, name, drugbank_id	RxNorm
Protein	uniprot_id, name, function	UniProt
Gene	gene_id, symbol, name	Linked ontologies
MeSHDescriptor	descriptor_id, name, tree_numbers	MeSH (NLM)
Sponsor	name, class (INDUSTRY/NIH/…)	ClinicalTrials.gov
Site	facility, city, country, latitude, longitude	ClinicalTrials.gov
Publication	pmid, title, journal, doi	PubMed
AdverseEvent	term, organ_system, is_serious	OpenFDA
ArmGroup	label, type (EXPERIMENTAL/…)	ClinicalTrials.gov
Outcome	measure, time_frame, type	ClinicalTrials.gov
DrugClass	atc_code, name, level	ATC
LabTest	loinc_code, name	LOINC

Repository: samyama-ai/clinicaltrials-kg (private) Snapshot: kg-snapshots-v1 (clinical-trials.sgsnap, 711 MB)

Drug Interactions KG

Drug-gene interactions, side effects, indications, bioactivities, and adverse events from 5 open pharmacology databases. Bridges to Pathways KG (via gene name) and Clinical Trials KG (via DrugBank ID).

Schema

graph LR
    Drug -->|INTERACTS_WITH_GENE| Gene
    Drug -->|HAS_SIDE_EFFECT| SideEffect
    Drug -->|HAS_INDICATION| Indication
    Drug -->|HAS_BIOACTIVITY| Bioactivity
    Drug -->|HAS_ADVERSE_EVENT| AdverseEvent
    Drug -->|CLASSIFIED_AS| DrugClass
    Bioactivity -->|BIOACTIVITY_TARGET| Target

    style Drug fill:#ec4899,stroke:#333,color:#fff
    style Gene fill:#3b82f6,stroke:#333,color:#fff
    style SideEffect fill:#ef4444,stroke:#333,color:#fff
    style Indication fill:#10b981,stroke:#333,color:#fff

Performance

Rust native loader: 245,000 nodes + 388,000 edges in 7.7s
Snapshot: 8.1 MB (druginteractions.sgsnap)
BiomedQA benchmark: 98% accuracy with MCP tools

Sources (5 of 6)

Source	License	Content
DrugBank CC0	CC0	19,842 drug vocabulary + synonym mappings
DGIdb	Open	Drug-gene interactions from 4,182 genes
SIDER	CC-BY-SA	Side effects + indications
ChEMBL	CC-BY-SA	208K bioactivity records
OpenFDA FAERS	Public	1.7K adverse event reports

Repository: samyama-ai/druginteractions-kg Rust loader: examples/druginteractions_loader.rs in samyama-graph Snapshot: druginteractions.sgsnap (8.1 MB)

Disease Surveillance KG

WHO Global Health Observatory data — disease case/death counts, vaccine coverage, and health indicators across 234 countries.

Schema

graph LR
    Country -->|IN_REGION| Region
    Country -->|REPORTED| DiseaseReport
    DiseaseReport -->|REPORT_OF| Disease
    Country -->|HAS_COVERAGE| VaccineCoverage
    Country -->|HAS_INDICATOR| HealthIndicator

    style Country fill:#06b6d4,stroke:#333,color:#fff
    style Region fill:#84cc16,stroke:#333,color:#fff
    style Disease fill:#ef4444,stroke:#333,color:#fff
    style DiseaseReport fill:#8b5cf6,stroke:#333,color:#fff
    style VaccineCoverage fill:#f59e0b,stroke:#333,color:#fff
    style HealthIndicator fill:#ec4899,stroke:#333,color:#fff

Label	Count	Source
Country	234	WHO GHO
Region	6	WHO regions (AFR, AMR, SEAR, EUR, EMR, WPR)
Disease	15	Cholera, Malaria, TB, HIV, Meningitis, etc.
DiseaseReport	~49K	Annual case/death counts per country per disease
VaccineCoverage	~10K	DTP3, MCV1, BCG, Polio3 coverage per country per year
HealthIndicator	~164K	Life expectancy, infant mortality, sanitation, water

Repository: samyama-ai/surveillance-kg Rust loader: examples/surveillance_loader.rs in samyama-graph Snapshot: surveillance.sgsnap (5.7 MB) Data source: WHO GHO OData API — 30 indicators across infectious diseases, vaccines, and health metrics

Health Determinants KG

Population vulnerability indicators from World Bank WDI, WHO Air Quality, and WHO Water/Sanitation — 80 curated indicators across 211 countries (1990–2024).

Schema

graph LR
    Country -->|IN_REGION| Region
    Country -->|HAS_INDICATOR| SocioeconomicIndicator
    Country -->|ENVIRONMENT_OF| EnvironmentalFactor
    Country -->|NUTRITION_STATUS| NutritionIndicator
    Country -->|DEMOGRAPHIC_OF| DemographicProfile
    Country -->|WATER_RESOURCE_OF| WaterResource

    style Country fill:#84cc16,stroke:#333,color:#fff
    style Region fill:#06b6d4,stroke:#333,color:#fff
    style SocioeconomicIndicator fill:#f59e0b,stroke:#333,color:#fff
    style EnvironmentalFactor fill:#ef4444,stroke:#333,color:#fff
    style NutritionIndicator fill:#10b981,stroke:#333,color:#fff
    style DemographicProfile fill:#8b5cf6,stroke:#333,color:#fff
    style WaterResource fill:#3b82f6,stroke:#333,color:#fff

Category	Nodes	Indicators	Examples
Countries	211	—	ISO 3166-1 alpha-3, income level, WB region
Regions	7	—	South Asia, Sub-Saharan Africa, etc.
Socioeconomic	52,367	16	GDP, GNI, poverty, Gini, unemployment, literacy, health expenditure
Environmental	35,667	10 + PM2.5	PM2.5 exposure, forest area, renewable energy, CO2
Nutrition	14,073	10	Stunting, wasting, obesity, undernourishment, anemia
Demographic	107,088	15	Population, fertility, life expectancy, infant mortality, urbanization
Water	76,222	10 + WASH	Drinking water, sanitation, freshwater withdrawal, water stress

Performance

Rust native loader: 285,635 nodes + 285,628 edges in 2.4s
Snapshot: 6.5 MB (health-determinants.sgsnap)
Benchmark: 40/40 queries pass (median 15ms)

Sources

Source	License	Content
World Bank WDI	CC-BY 4.0	80 indicators, 211 countries, 1990–2024
WHO GHO Air Quality	Open	PM2.5 annual mean (1,880 records)
WHO GHO WASH	Open	Water/sanitation (47K records)

Repository: samyama-ai/health-determinants-kg Rust loader: examples/health_determinants_loader.rs in samyama-graph-enterprise Snapshot: health-determinants.sgsnap (6.5 MB)

Health Systems KG

Health system capacity — IHR emergency preparedness and health workforce density from WHO, across 233 countries.

Schema

graph LR
    EmergencyResponse -->|CAPACITY_FOR| Country
    HealthWorkforce -->|SERVES| Country

    style Country fill:#f97316,stroke:#333,color:#fff
    style EmergencyResponse fill:#ef4444,stroke:#333,color:#fff
    style HealthWorkforce fill:#3b82f6,stroke:#333,color:#fff

Label	Count	Source
Country	233	WHO GHO
EmergencyResponse	8,430	WHO SPAR v2 — 15 IHR capacities per country per year
HealthWorkforce	10,998	WHO NHWA — physicians, nurses, dentists, pharmacists

Performance

Rust native loader: 19,661 nodes + 19,428 edges in 149ms
Snapshot: 0.5 MB (health-systems.sgsnap)
Benchmark: 40/40 queries pass (cross-KG with Health Determinants)

Sources

Source	License	Content
WHO SPAR v2	Open	15 IHR capacity scores, 233 countries
WHO NHWA	Open	Health workforce density per 10K population

Pending sources (loaders built, data not yet downloaded): GAVI vaccine supply, Global Fund disbursements, IHME health expenditure

Repository: samyama-ai/health-systems-kg Rust loader: examples/health_systems_loader.rs in samyama-graph-enterprise Snapshot: health-systems.sgsnap (0.5 MB)

AssetOps KG

Synthetic industrial operations graph from the AssetOpsBench benchmark. Models assets, sensors, maintenance schedules, and failure modes for industrial IoT.

Label	Count	Examples
Asset	~200	Pumps, compressors, turbines
Sensor	~150	Temperature, vibration, pressure
WorkOrder	~100	Maintenance tasks
FailureMode	~80	Bearing failure, seal leak
Component	~100	Bearings, seals, impellers
Location	~50	Plants, areas, units
Operator	~50	Maintenance technicians
Schedule	~50	Maintenance windows

Repository: samyama-ai/assetops-kg (private)

Quick Start — Loading Any Snapshot

All snapshots follow the same load pattern:

# 1. Start Samyama Graph (v0.7.0+)
./target/release/samyama

# 2. Create a tenant
curl -X POST http://localhost:8080/api/tenants \
  -H 'Content-Type: application/json' \
  -d '{"id":"TENANT_ID","name":"TENANT_NAME"}'

# 3. Import snapshot into the tenant
curl -X POST http://localhost:8080/api/tenants/TENANT_ID/snapshot/import \
  -F "file=@snapshot.sgsnap"

# 4. Query
curl -X POST http://localhost:8080/api/query \
  -H 'Content-Type: application/json' \
  -d '{"query":"MATCH (n) RETURN labels(n), count(n)","graph":"TENANT_ID"}'

# 5. Explore in Insight
cd samyama-insight && npm run dev
# → http://localhost:5173 (select tenant from dropdown)
# → http://localhost:5173/simulation/TENANT_ID

Note: Use /api/tenants/:id/snapshot/import (tenant-specific endpoint), NOT /api/snapshot/import. The generic endpoint always loads into the default tenant.

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