PeytonT/paper_graph

Generated with Research Library:

https://github.com/peytontolbert/Research_Library

Paper Universe Graph Dataset

Parquet-first export of the paper-universe graph already built under the Repository Library.

This dataset preserves:

• paper nodes with metadata references and 3D coordinates
• paper/category/year/topic graph layers
• optional paper-to-paper and category-to-category similarity edges
• metadata and full-text paper embedding splits

Coverage

• papers: 1000000
• categories: 156
• years: 19
• topics: 1483957
• embedding dimension: 384
• full-text embeddings included: true

Configs

• default viewer/config: paper_nodes
• paper_nodes: 1000000 rows
• paper_category_edges: 1744492 rows
• paper_knn: 20000062 rows
• category_nodes: 156 rows
• category_knn: 1248 rows
• topic_nodes: 1483957 rows
• paper_topic_edges: 3000000 rows
• year_nodes: 19 rows
• paper_year_edges: 1000000 rows
• paper_embeddings: 1000000 rows
• paper_fulltext_embeddings: 1000000 rows

Loading

from datasets import load_dataset

paper_nodes = load_dataset("PeytonT/paper_graph", "paper_nodes")
paper_category_edges = load_dataset("PeytonT/paper_graph", "paper_category_edges")
paper_knn = load_dataset("PeytonT/paper_graph", "paper_knn")
category_nodes = load_dataset("PeytonT/paper_graph", "category_nodes")
category_knn = load_dataset("PeytonT/paper_graph", "category_knn")
topic_nodes = load_dataset("PeytonT/paper_graph", "topic_nodes")
paper_topic_edges = load_dataset("PeytonT/paper_graph", "paper_topic_edges")
year_nodes = load_dataset("PeytonT/paper_graph", "year_nodes")
paper_year_edges = load_dataset("PeytonT/paper_graph", "paper_year_edges")
paper_embeddings = load_dataset("PeytonT/paper_graph", "paper_embeddings")
paper_fulltext_embeddings = load_dataset("PeytonT/paper_graph", "paper_fulltext_embeddings")

Notes

• paper_nodes stores metadata references and coordinates, not the full paper body.
• The original full text remains in the source paper dataset referenced by the manifest.
• paper_embeddings is the metadata/title+abstract embedding split.
• paper_fulltext_embeddings is the aggregated full-body embedding split when available.

Visualization Assets

The export includes the local paper-universe visualizations and viewer payload when present:

• manifest.json
• progress.json
• render_manifest.json
• viewer_manifest.json
• universe_3d.png
• universe_3d_detailed.png
• nodes_3d_sample.html
• universe_3d_hover.html
• interactive/categories.json
• interactive/manifest.json
• interactive/papers_200000.json
• interactive/papers_50000.json
• interactive/years.json

Universe 3D Overview

Universe 3D Detailed View

• Open the sampled 3D HTML view

• Open the interactive hover view

• Interactive viewer payload is included under interactive/.