ENT-00002722 · Dataset

OGBN-Arxiv

OGBN-Arxiv is a graph / scientific ml dataset associated with Open Graph Benchmark.

Level V — PersistentActiveDocumented

Human readable record

Overview

OGBN-Arxiv is a documented graph, molecular or scientific machine learning dataset. It is recorded as node property prediction graph dataset, supporting experiments in graph neural networks, representation learning or scientific AI.

Timeline

2020Public release or documentation
OGBN-Arxiv appears in public documentation, project records, benchmark descriptions or research references associated with Open Graph Benchmark.

Capabilities

Dataset referenceBenchmark or training-data contextTask-level documentationModel evaluation supportSource-based traceability

Known limitations

Dataset coverage, licensing, annotation quality and benchmark relevance depend on the source version and use context.Performance claims should be assessed through models evaluated on the dataset rather than inferred from the dataset alone.

Technical and registry detail

Technical description

Structured record for OGBN-Arxiv. The technical layer identifies the entity type, classification, creator or organization, official source anchor, capabilities, limitations, timeline entries and graph relationships without adding internal import events to the public history.

Controlled tags

DatasetGraph LearningScientific AIBenchmark

Relationship graph

OGBN-Arxiv

Associated organizationOpen Graph Benchmark

Open Graph Benchmark is the organization, project community or institutional context associated with OGBN-Arxiv.

Domain contextGraph and scientific machine learning

OGBN-Arxiv belongs to the Graph and scientific machine learning layer of the intelligent-entity registry.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00002722",
    "name": "OGBN-Arxiv",
    "alternateName": [],
    "additionalType": "Dataset",
    "description": "OGBN-Arxiv is a graph / scientific ml dataset associated with Open Graph Benchmark.",
    "creator": "Open Graph Benchmark",
    "url": "entity.php?id=ENT-00002722",
    "sameAs": "https://ogb.stanford.edu/docs/nodeprop/#ogbn-arxiv",
    "lxkeysWorld": {
        "classification": "Graph / Scientific ML Dataset",
        "organization": "Open Graph Benchmark",
        "originContext": "Graph and scientific machine learning",
        "firstPublicAppearance": "2020",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "level": "Level V — Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:48:33+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:48:33+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "reviewed_utc": "2026-06-17T01:48:33+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "capabilities": [
            "Dataset reference",
            "Benchmark or training-data context",
            "Task-level documentation",
            "Model evaluation support",
            "Source-based traceability"
        ],
        "limitations": [
            "Dataset coverage, licensing, annotation quality and benchmark relevance depend on the source version and use context.",
            "Performance claims should be assessed through models evaluated on the dataset rather than inferred from the dataset alone."
        ],
        "tags": [
            "Dataset",
            "Graph Learning",
            "Scientific AI",
            "Benchmark"
        ],
        "timeline": [
            {
                "date": "2020",
                "title": "Public release or documentation",
                "description": "OGBN-Arxiv appears in public documentation, project records, benchmark descriptions or research references associated with Open Graph Benchmark."
            }
        ],
        "relationships": [
            {
                "target": "Open Graph Benchmark",
                "type": "Associated organization",
                "description": "Open Graph Benchmark is the organization, project community or institutional context associated with OGBN-Arxiv.",
                "evidence_level": "documentary"
            },
            {
                "target": "Graph and scientific machine learning",
                "type": "Domain context",
                "description": "OGBN-Arxiv belongs to the Graph and scientific machine learning layer of the intelligent-entity registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official or reference dataset page",
                "url": "https://ogb.stanford.edu/docs/nodeprop/#ogbn-arxiv",
                "source_type": "Primary / Reference Source",
                "verification_status": "verified"
            }
        ]
    }
}

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